<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJS</journal-id><journal-title-group><journal-title>Open Journal of Statistics</journal-title></journal-title-group><issn pub-type="epub">2161-718X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojs.2016.66095</article-id><article-id pub-id-type="publisher-id">OJS-73049</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Influence of Chemical Element on Properties of Deformed Steel Bar
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ruixiang</surname><given-names>Han</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Menghui</surname><given-names>Hu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Qian</surname><given-names>Pei</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dianxuan</surname><given-names>Gong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yunxia</surname><given-names>Song</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Mathematical Modeling Association, North China University of Science and Technology, Tangshan, China</addr-line></aff><aff id="aff2"><addr-line>Tangshan College, Tangshan, China</addr-line></aff><pub-date pub-type="epub"><day>14</day><month>11</month><year>2016</year></pub-date><volume>06</volume><issue>06</issue><fpage>1174</fpage><lpage>1180</lpage><history><date date-type="received"><day>October</day>	<month>25,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>December</month>	<year>23,</year>	</date><date date-type="accepted"><day>December</day>	<month>28,</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In this paper, the relationship between steel and chemical elements is explored. A production record of a steel mill is adopted for two years, which is used as the basic data to standardize the data. Then, according to the correlation coefficient method between the hot-rolled ribs No. 1 and No. 2 hot-rolled ribs, the correlation between the two sets of data is analyzed. The main influencing factors of the hot-rolled ribs properties are obtained qualitatively. Then, the logistic regression method is used. Finally, according to the national standard of Chinese steel, the linear optimization model of Cr and Mn and V elements was established, and the change range of Cr was obtained without affecting the performance of hot rolled ribs.
 
</p></abstract><kwd-group><kwd>Correlation Analysis</kwd><kwd> Logistic Regression</kwd><kwd> Linear Optimization Model</kwd><kwd> Hot-Rolled  Ribbed Bar</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Hot-rolled ribbed bar is commonly known as deformed steel bar, it’s mainly used for skeleton of reinforced concrete component and it requires certain mechanical strength, bending and deformation properties, fabrication weldability in use. Most deformed steel bar adopts microalloying method, that is to add expensive microelement (such as Mn alloy material, V alloy material, etc.) into steel, adjust the composition proportion and to improve structure property. In this paper, by collecting the mechanical properties of steel types, the main mechanical properties are hardness, tensile strength, yield strength, toughness [<xref ref-type="bibr" rid="scirp.73049-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.73049-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.73049-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.73049-ref4">4</xref>] , brittleness, percentage elongation after fracture and so on. Many factors affect the mechanical properties; this article only considers the effect of chemical elements. First of all, we explore the types of chemical elements, analysis of mechanical properties of steel. The relationship between the chemical element and the steel performance index was analyzed through the production data of a steel enterprise for two years. The main and minor factors that affect the three mechanical properties are obtained. Then, we analyze the major and the minor degree of the chemical elements by the correlation analysis and analysis. In it, we find the mechanical relationships between the main elements and the three mechanical indices. Finally, through the construction of mathematical models, we found their impact relationship. In practice, business managers take into account the price of rare metals, and Cr in the hot-rolled ribs to add excess, the impact of Mn and V. Combined with China’s national hot-rolled rib of the national standards, a linear optimization model was established. By optimizing the model [<xref ref-type="bibr" rid="scirp.73049-ref5">5</xref>] , the range of Cr is obtained under the condition of not affecting the performance of hot-rolled ribs. When the company uses mine rich in Cr, the Cr content in liquid iron will significantly increase. Therefore there is a question: When Cr content increases, can we reduce alloy material amount in order to control the cost?</p></sec><sec id="s2"><title>2. Data Preprocessing</title><p>From the experience of daily life, combined with scientific and technical literature and steel production data, the data are standardized. Data between the different dimensions, resulting in a large difference between the data directly to deal with it is difficult to find the chemical elements, the conclusion is very unfavorable. Therefore, this paper firstly standardized data processing, the extreme value method as a standard data processing. After the data have been processed by extreme values, all data will be in the range (0, 1).</p><p>Extreme value processing formula:</p><disp-formula id="scirp.73049-formula149"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x3.png"  xlink:type="simple"/></disp-formula><p>In it, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x4.png" xlink:type="simple"/></inline-formula>is the maximum value in the matrix and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x5.png" xlink:type="simple"/></inline-formula> is the minimum value in the matrix. Here are some of the data after the standardization, see <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Take No. 1 and 2 specifications of steel, the position of the front three.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Standardized data</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Specification</th><th align="center" valign="middle" >C</th><th align="center" valign="middle" >Mn</th><th align="center" valign="middle" >S</th><th align="center" valign="middle" >P</th><th align="center" valign="middle" >Si</th><th align="center" valign="middle" >Ceq</th><th align="center" valign="middle" >V</th><th align="center" valign="middle" >Cr</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.4483</td><td align="center" valign="middle" >0.65</td><td align="center" valign="middle" >0.25</td><td align="center" valign="middle" >0.5294</td><td align="center" valign="middle" >0.375</td><td align="center" valign="middle" >0.0977</td><td align="center" valign="middle" >0.0698</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.2759</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.3529</td><td align="center" valign="middle" >0.3125</td><td align="center" valign="middle" >0.1203</td><td align="center" valign="middle" >0.1047</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.4138</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.0833</td><td align="center" valign="middle" >0.5588</td><td align="center" valign="middle" >0.3125</td><td align="center" valign="middle" >0.1053</td><td align="center" valign="middle" >0.093</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.4138</td><td align="center" valign="middle" >0.75</td><td align="center" valign="middle" >0.3333</td><td align="center" valign="middle" >0.4706</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.1128</td><td align="center" valign="middle" >0.1163</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.5517</td><td align="center" valign="middle" >0.85</td><td align="center" valign="middle" >0.5556</td><td align="center" valign="middle" >0.3824</td><td align="center" valign="middle" >0.3125</td><td align="center" valign="middle" >0.1128</td><td align="center" valign="middle" >0.1047</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.3333</td><td align="center" valign="middle" >0.4138</td><td align="center" valign="middle" >0.625</td><td align="center" valign="middle" >0.4444</td><td align="center" valign="middle" >0.4118</td><td align="center" valign="middle" >0.3125</td><td align="center" valign="middle" >0.0977</td><td align="center" valign="middle" >0.1163</td></tr></tbody></table></table-wrap></sec><sec id="s3"><title>3. Mathematical Modeling</title><sec id="s3_1"><title>3.1. Correlation Analysis</title><p>The main properties of the deformation of steel are yield strength, tensile strength and elongation after fracture, other mechanical properties are not considered, the subject mentioned: the chemical composition of steel is the ultimate structural properties of hot-rolled steel is the basic elements. Therefore, the factors affecting the performance of steel only consider the chemical element effects, and analysis of the primary and secondary relationship between these elements.</p><p>Data sampling area is an important means of data processing in modern mathematics. In this paper, sample processing method is used to classify the No. 1 and No. 2 steel materials on the basis of ensuring the order of standardization of raw data. Ribs 71 sets of data, No. 2 hot-rolled ribs 51 sets of data, were studied.</p><p>The hot-rolled ribs of No. 1 and the No. 2 hot-rolled ribs are separated, and the correlation between each element and the three properties and the three properties are analyzed respectively. The product correlation coefficient method is used to calculate the correlation between the element and the performance. The formula of the product correlation coefficient is as follows:</p><disp-formula id="scirp.73049-formula150"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x6.png"  xlink:type="simple"/></disp-formula><p>In it, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x7.png" xlink:type="simple"/></inline-formula>is the correlation coefficient.</p><p>The following table shows the correlation between the individual elements and the three properties:</p><p>With the MATLAB program, standardize the data. According to <xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>, we can find the main factors affecting the yield strength of hot-rolled ribs are C, Si, Cr, P, S, and the main factors affecting tensile strength are C, Si, Mn, P, S, Cr affect the elongation of the main elements of P, C, Mn.</p></sec><sec id="s3_2"><title>3.2. Construction of Mathematical Models</title><p>It is well known that the properties of the hot-rolled ribs directly affect the metallurgical</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The correlation between each element of No. 1 hot-rolled rib and three properties</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >C</th><th align="center" valign="middle" >Mn</th><th align="center" valign="middle" >S</th><th align="center" valign="middle" >P</th><th align="center" valign="middle" >Si</th><th align="center" valign="middle" >Ceq</th><th align="center" valign="middle" >V</th><th align="center" valign="middle" >Cr</th><th align="center" valign="middle" >Ni</th><th align="center" valign="middle" >Cu</th><th align="center" valign="middle" >Mo</th><th align="center" valign="middle" >Alt</th></tr></thead><tr><td align="center" valign="middle" >Tensile strength</td><td align="center" valign="middle" >0.348</td><td align="center" valign="middle" >0.12</td><td align="center" valign="middle" >−0.128</td><td align="center" valign="middle" >0.117</td><td align="center" valign="middle" >0.246</td><td align="center" valign="middle" >−0.207</td><td align="center" valign="middle" >−0.05</td><td align="center" valign="middle" >−0.311</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >0.059</td><td align="center" valign="middle" >−0.16</td><td align="center" valign="middle" >−0.17</td></tr><tr><td align="center" valign="middle" >Yield strength</td><td align="center" valign="middle" >0.331</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >0.473</td><td align="center" valign="middle" >−0.301</td><td align="center" valign="middle" >0.244</td><td align="center" valign="middle" >0.076</td><td align="center" valign="middle" >−0.092</td><td align="center" valign="middle" >−0.134</td><td align="center" valign="middle" >−0.25</td><td align="center" valign="middle" >−0.085</td><td align="center" valign="middle" >0.933</td><td align="center" valign="middle" >0.98</td></tr><tr><td align="center" valign="middle" >Percentage elongation after fracture</td><td align="center" valign="middle" >−0.114</td><td align="center" valign="middle" >0.099</td><td align="center" valign="middle" >−0.026</td><td align="center" valign="middle" >0.449</td><td align="center" valign="middle" >0.082</td><td align="center" valign="middle" >−0.124</td><td align="center" valign="middle" >0.195</td><td align="center" valign="middle" >−0.351</td><td align="center" valign="middle" >0.099</td><td align="center" valign="middle" >0.187</td><td align="center" valign="middle" >0.159</td><td align="center" valign="middle" >0.158</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Correlations of the individual elements of No. 2 hot-rolled ribs with the three properties</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >C</th><th align="center" valign="middle" >Mn</th><th align="center" valign="middle" >S</th><th align="center" valign="middle" >P</th><th align="center" valign="middle" >Si</th><th align="center" valign="middle" >Ceq</th><th align="center" valign="middle" >V</th><th align="center" valign="middle" >Cr</th><th align="center" valign="middle" >Ni</th><th align="center" valign="middle" >Cu</th><th align="center" valign="middle" >Mo</th><th align="center" valign="middle" >Alt</th></tr></thead><tr><td align="center" valign="middle" >Tensile strength</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.175</td><td align="center" valign="middle" >−0.136</td><td align="center" valign="middle" >0.16</td><td align="center" valign="middle" >0.212</td><td align="center" valign="middle" >−0.064</td><td align="center" valign="middle" >−0.046</td><td align="center" valign="middle" >−0.299</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.046</td><td align="center" valign="middle" >−0.52</td><td align="center" valign="middle" >−0.053</td></tr><tr><td align="center" valign="middle" >Yield strength</td><td align="center" valign="middle" >0.362</td><td align="center" valign="middle" >0.028</td><td align="center" valign="middle" >0.21</td><td align="center" valign="middle" >−0.258</td><td align="center" valign="middle" >0.192</td><td align="center" valign="middle" >0.082</td><td align="center" valign="middle" >−0.149</td><td align="center" valign="middle" >−0.279</td><td align="center" valign="middle" >−0.141</td><td align="center" valign="middle" >−0.045</td><td align="center" valign="middle" >0.737</td><td align="center" valign="middle" >0.98</td></tr><tr><td align="center" valign="middle" >Percentage elongation after fracture</td><td align="center" valign="middle" >−0.028</td><td align="center" valign="middle" >0.163</td><td align="center" valign="middle" >−0.125</td><td align="center" valign="middle" >0.102</td><td align="center" valign="middle" >−0.144</td><td align="center" valign="middle" >−0.114</td><td align="center" valign="middle" >−0.413</td><td align="center" valign="middle" >0.249</td><td align="center" valign="middle" >0.316</td><td align="center" valign="middle" >0.028</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >0.136</td></tr></tbody></table></table-wrap><p>properties of the hot-rolled ribs and the yield point and tensile strength of the hot-rolled ribs increase with the increase of the C content and the properties and impact properties are decreased. In the steelmaking process, the manganese is good Deoxidizer and desulfurization agent, the general steel containing manganese 0.3% - 0.5% [<xref ref-type="bibr" rid="scirp.73049-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.73049-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.73049-ref8">8</xref>] , compared with ordinary steel not only has enough toughness, as well as high strength and hardness. According to the need, the manganese content increases, reduces the steel the corrosion resistance ability, reduces the welding performance. Chromium in the hot-rolled ribs can significantly improve the strength, hardness and wear resistance, while reducing the plastic toughness, but also improve the oxidation resistance and corrosion resistance of steel, nickel can improve the strength of steel to maintain good plasticity and toughness of the acid Alkali has a strong resistance to corrosion, but nickel is more scarce, it should be considered with other elements instead of cadmium and nickel. Si can remarkably improve the elastic limit, yield strength and fatigue property of steel.</p><p>The yield strength, tensile strength and elongation at break of the deformed steels were compared with those of C, Mn, Cr, V and Ni, including C, Cr, V, Ni.</p><p>The data of C, Mn, Cr, V and Ni are taken as the independent variable’s vectors<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x8.png" xlink:type="simple"/></inline-formula>. The yielding strength, the tensile strength after breaking and the elongation at break were taken as y variables, and the conditional probability was assumed.</p><disp-formula id="scirp.73049-formula151"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x9.png"  xlink:type="simple"/></disp-formula><p>In the formula, p is the probability of observing the occurrence of something. According to the data, we can get the regression model. The relation between <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x10.png" xlink:type="simple"/></inline-formula> and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x11.png" xlink:type="simple"/></inline-formula> is as follows:</p><disp-formula id="scirp.73049-formula152"><label>(4)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x12.png"  xlink:type="simple"/></disp-formula><p>In the formula, the function <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x13.png" xlink:type="simple"/></inline-formula> is the monotonic increasing function of the range in [0, 1] interval.</p><p>For logistic regression:</p><disp-formula id="scirp.73049-formula153"><label>(5)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x14.png"  xlink:type="simple"/></disp-formula><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x15.png" xlink:type="simple"/></inline-formula>is the distribution of the mean value <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x16.png" xlink:type="simple"/></inline-formula> between [0, 1], the probability is:</p><disp-formula id="scirp.73049-formula154"><label>(6)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x17.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.73049-formula155"><label>(7)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x18.png"  xlink:type="simple"/></disp-formula><p>The probability of the number of <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x19.png" xlink:type="simple"/></inline-formula> written together:</p><disp-formula id="scirp.73049-formula156"><label>(8)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x20.png"  xlink:type="simple"/></disp-formula><p>The maximum likelihood of <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x21.png" xlink:type="simple"/></inline-formula> is:</p><disp-formula id="scirp.73049-formula157"><label>(9)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x22.png"  xlink:type="simple"/></disp-formula><p>Take the natural logarithm, the formula is:</p><disp-formula id="scirp.73049-formula158"><label>(10)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x23.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.73049-formula159"><label>(11)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x24.png"  xlink:type="simple"/></disp-formula><p>G is the residual, and then do linear regression with MATLAB, can be drawn with the yield strength of Mn, C off</p><disp-formula id="scirp.73049-formula160"><label>(12)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x25.png"  xlink:type="simple"/></disp-formula><p>With the corrcoef function can be seen in the specifications of a steel, Ni, Cr, V and tensile strength of a linear relationship. This shows that the linear relationship is satisfied in the plane:</p><disp-formula id="scirp.73049-formula161"><label>(13)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x26.png"  xlink:type="simple"/></disp-formula><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x27.png" xlink:type="simple"/></inline-formula>is the residual, and then do linear regression with MATLAB, can be drawn with the yield strength, Cr, Ni, V relationship is as follows:</p><disp-formula id="scirp.73049-formula162"><label>(14)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x28.png"  xlink:type="simple"/></disp-formula><p>The comprehensive relationship between the five major elements of Mn, C, Cr, Ni, V and the yield strength can be summarized as follows:</p><disp-formula id="scirp.73049-formula163"><label>(15)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x29.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.73049-formula164"><label>(16)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x30.png"  xlink:type="simple"/></disp-formula><p>T Is the residual, and then do linear regression with MATLAB, C, Mn and fracture tensile strength relationship is as follows:</p><disp-formula id="scirp.73049-formula165"><label>(17)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x31.png"  xlink:type="simple"/></disp-formula><p>Using the corrcoef function, it can be seen that the tensile strength of Cr, Ni, V and fracture is approximately linear in the steel with the size of one. This shows that the linear relationship is satisfied in the plane:</p><disp-formula id="scirp.73049-formula166"><label>(18)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x32.png"  xlink:type="simple"/></disp-formula><p>T Is the residual, and then do a linear regression with MATLAB, C, Mn, Cr, Ni, V and fracture tensile strength relationship is as follows:</p><disp-formula id="scirp.73049-formula167"><label>(19)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x33.png"  xlink:type="simple"/></disp-formula><p>C and elongation at break linearly. This shows that the linear relationship is satisfied in the plane:</p><disp-formula id="scirp.73049-formula168"><label>(20)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x34.png"  xlink:type="simple"/></disp-formula><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x35.png" xlink:type="simple"/></inline-formula>Is the residual, and then do linear regression with MATLAB, can be drawn with the yield strength of Mn, C relationship is as follows:</p><disp-formula id="scirp.73049-formula169"><label>(21)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x36.png"  xlink:type="simple"/></disp-formula><p>With the corrcoef function can be seen in the specifications of a steel, Ni, Cr, V and tensile strength of a linear relationship. This shows that the linear relationship is satisfied in the plane:</p><disp-formula id="scirp.73049-formula170"><label>(22)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x37.png"  xlink:type="simple"/></disp-formula><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x38.png" xlink:type="simple"/></inline-formula>is the residual, and then do linear regression with MATLAB, can be obtained with the yield strength, Cr, Ni, V relationship is as follows:</p><disp-formula id="scirp.73049-formula171"><label>(23)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x39.png"  xlink:type="simple"/></disp-formula><p>The comprehensive relationship between the five major elements of Mn, C, Cr, Ni, V and the elongation at break is as follows:</p><disp-formula id="scirp.73049-formula172"><label>(24)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x40.png"  xlink:type="simple"/></disp-formula><p>Similarly, the relationship between the yield strength, the tensile strength and the elon- gation at break of C, Mn, Cr, V and Ni in the specification II can be obtained as follows:</p><disp-formula id="scirp.73049-formula173"><label>(25)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x41.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.73049-formula174"><label>(26)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x42.png"  xlink:type="simple"/></disp-formula><p>Through the above formula can be concluded:</p><p>The carbon content of steel increased, yield strength and tensile strength increased, but the plastic and lower impact;</p><p>Mn can improve the toughness of sufficient to improve its [<xref ref-type="bibr" rid="scirp.73049-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.73049-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.73049-ref9">9</xref>] tensile strength and flexural strength to improve the tensile properties of chromium to reduce steel, can improve the antioxidant capacity, nickel can improve the strength of steel to maintain shape.</p></sec><sec id="s3_3"><title>3.3. Analysis Cr, Optimization Ratio</title><p>According to the third question, the mathematic model of the performance of the hot-rolled ribs is established, and the mathematical model of the linear programming is established through the second group of equations and the Chinese national standard [<xref ref-type="bibr" rid="scirp.73049-ref10">10</xref>] . The relationship between C, Mn, Cr, V, Ni and the tensile strength and elongation at break were obtained. The functional formulas were as follows ((19), (25), (26):</p><p>Here, the HPB335 and HPB400 are discussed according to the Chinese national standard.</p><p>HB335 hot-rolled ribs linear programming model: (27); HB400 hot-rolled ribs linear programming model: (28).</p><disp-formula id="scirp.73049-formula175"><label>(27)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x43.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.73049-formula176"><label>(28)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/17-1240815x44.png"  xlink:type="simple"/></disp-formula><p>Through calculating of the HB335 hot-rolled ribs, the range of Cr is:</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x45.png" xlink:type="simple"/></inline-formula>.</p><p>Through calculating of the HB400 hot-rolled ribs, the range of Cr is:</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x46.png" xlink:type="simple"/></inline-formula>.</p><p>The range of Mn and V in HB335 was calculated:<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x48.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x48.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x47.png" xlink:type="simple"/></inline-formula>.</p><p>The range of Mn and V in HB400 was calculated: <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x49.png" xlink:type="simple"/></inline-formula></p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/17-1240815x50.png" xlink:type="simple"/></inline-formula>.</p></sec></sec><sec id="s4"><title>4. Conclusion</title><p>In this paper, it is divided into three parts: Analyzing the performance and main influencing factors of hot-rolled ribs, establishing the mathematical model between chemical elements and properties, analyzing the range of Cr content without affecting the performance, achieving energy saving and emission reduction, economic and rational development purposes.</p></sec><sec id="s5"><title>Cite this paper</title><p>Han, R.X., Hu, M.H., Pei, Q., Gong, D.X. and Song, Y.X. (2016) The Influence of Chemical Element on Properties of Deformed Steel Bar. Open Journal of Statistics, 6, 1174-1180. http://dx.doi.org/10.4236/ojs.2016.66095</p></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.73049-ref1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Xu</surname><given-names> Y. </given-names></name>,<etal>et al</etal>. (<year>2002</year>)<article-title>Current Application Situation of 400 MPa Hot Rolled Ribbed Bar in China and Some Suggestions for Its Development</article-title><source> Steel Rolling</source><volume> 19</volume>,<fpage> 3</fpage>-<lpage>6</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.73049-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Wan, W.G. and Zhao, M.Q. (2005) Research on the Variations in Tensile Properties of Hot Rolled Ribbed Bar after Aging. Physical Testing and Chemical Analysis Part A: Physical Testing, 41, 275-279.</mixed-citation></ref><ref id="scirp.73049-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Wu, X.X. (1980) Talk about the Chemical Elements on the Performance of Steel. Construction Workers, 6, 013.</mixed-citation></ref><ref id="scirp.73049-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Wang, S. (2006) Effects of Microalloying and Rapid Cooling on the Microstructure and Properties of Hot Rolled Ribbed Bar. Northeastern University.</mixed-citation></ref><ref id="scirp.73049-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Yan, G., Yang, J.Y., Chuang, W., et al. (2011) Effects of Alloying Elements on Matrix and Properties in Low Alloy Steels. Journal of Shenyang Normal University (Natural Science Edition), 29, 510-513.</mixed-citation></ref><ref id="scirp.73049-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Zhan, S.Y. Research on Seismic Behavior of Reinforcing Steel Bars.</mixed-citation></ref><ref id="scirp.73049-ref7"><label>7</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Shen</surname><given-names> X.P. </given-names></name>,<etal>et al</etal>. (<year>1999</year>)<article-title>Analysis and Improvement of the Quality of Hot Rolled Ribbed Bars</article-title><source> Jiangsu Metallurgy</source><volume> 27</volume>,<fpage> 10</fpage>-<lpage>11</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.73049-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Parthé, E., Gelato, L., Chabot, B., et al. (2013) TYPIX Standardized Data and Crystal Chemical Characterization of Inorganic Structure Types. Springer Science &amp; Business Media, USA, 260 p.</mixed-citation></ref><ref id="scirp.73049-ref9"><label>9</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Hu</surname><given-names> R. </given-names></name>,<etal>et al</etal>. (<year>2007</year>)<article-title>Multi-Output Support Vector Regression Algorithm</article-title><source> Journal of East China Jiaotong University</source><volume> 24</volume>,<fpage> 129</fpage>-<lpage>132</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.73049-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Ma, C.F. (2010) Optimization Method and Its Matlab Program Design. Science Press, Beijing.</mixed-citation></ref></ref-list></back></article>