An important feature of any Engineering component is its fatigue life and it’s measured by the number of cycles it can withstand before Fatigue failure takes place. Fatigue is a problem that can affect any type of component that moves [1]. Heat treatment is an operation or combination of operations which involve heating at a specific rate. The aim is to obtain a desired microstructure to achieve certain predetermined properties (mechanical, physical, electrical or magnetic). Heat treatment and alloying are two methods which are considerably used for controlling material properties. In heat treatment, the microstructures of the materials are altered, which influences mechanical properties such as strength, ductility, toughness, hardness and wear [1]. Annealing in metallurgy and materials science is a heat treatment that alters the physical and sometimes the chemical properties of a material to increase its ductility and reduce its hardness, making it more workable. It involves heating the material to above its recrystallization temperature, maintaining a suitable temperature, and then cooling. [2] and [3] described annealing process as a thermal system applied to a material to transform or modify its internal structure from cold worked propagation; metallurgically, the effect of these changes in properties impacts on the performance characteristics and the expected application [4]. Annealing is the type of heat treatment most frequently applied in order to soften iron or steel materials and refines its grain due to ferrite-pearlite microstructure; it is used where elongations and appreciable level of tensile strength are required in engineering materials. [5] described annealing as a heat treatment procedure in which a material composition is altered, and such alterations cause changes in its properties such as strength and hardness. In this process, a material is heated to an elevated temperature for a specific period of time and then slowly cooled in the furnace. This kind of process is usually carried out to relieve stresses and improve ductility. It often enables the design of desired microstructure by altering the annealing parameters, such as annealing temperature and soaking time.

New materials that impart excellent structural performance; while reducing weight and being cost-effectively manufactured is on the increasing demand [6]. Due to this fact, for the past 30 years now, an exceptional type of steel which has low amount of carbon (0.05 - 0.25) and also combines with other alloying elements like Cr, Ni, Mo, Cu, N, V, Nb, Ti, W, and Zr, in little proportions and in diverse concentrations has evolved often known as high strength low alloy HSLA steels. Manricino, in his work on fatigue failure analysis of High Strength Low Alloy steel sheet described High strength low alloy steels (HSLA) as steels that are made up of microstructures formed by hard martensite particles distributed in the ductile ferrite matrix [7]. They are compared to dual-phase steels due to their high hardening ability during deformation, high malleability and good surface quality [8]. It also contributes to the stiffness and weight reduction being preferred in automobile industry. This is attributed to its good formability characteristics. These groups of steels play an effective role in the production of parts in vehicles such as suspension systems, support elements, longitudinal beams, transverse components and chassis [9]. When these materials are exposed to high temperatures, there is a recrystallization of the microstructure in the heat affected zone which directly influences the resistance limit of the material [10] Utilization of HSLA steels are found in many engineering fields which include oil and gas pipelines, constructions and farm machinery, heavy-duty highway and off road vehicles, industrial equipment storage tanks, mine and rail road car, barges and dredges snow mobiles, power transmission towers light poles, lawn mowers, and passengers car components. Bridges, offshore structures, and building beams and panels are additional uses of these steels [11].

Image analysis deals generally with acquisition of quantitative information about various parameters of microstructure of a material such as determination of percentage fraction of phases, particular size, circularity etc. Circularity can be calculated as a shape parameter index in the Image J software. The definition of circularity (C I) in the Image J software is as follows:

C 1 = 4 π A 1 P 1 2 (1)

where, A¹ and P₁ are the area and the perimeter using Image J.

There are numerous commercial software such as Amira, Comsol multiphysics, etc., for analysis features [12]. However, this paper describes an investigation of six different annealed samples from 840˚C - 990˚C with 30 ˚C interval of 0.17% C HSLA steels structure analyzing from OM image using Image J program software [13]. Several researchers have investigated DP steels to find out the effect of heat treatment, soaking times on its properties. Miroslaw, 2020 observed that annealing process reduces the true stress and effectively decreases the hardness of 42 CrMO₄ Steel and also improves microstructural Spherodization [14]. Senthil reported that improved fatigue strength was attainable by the combined heat treatment process of Nitriding followed by induction hardening [15]. The quantitative measurement of the influence of Annealing on the fatigue life of SAE202 and 440˚C steels from his results, he concluded that there is a definite improvement in the fatigue life due to annealing in both steels; however, the extent of improvement was more in 440˚C steel when compared to SAE202. Gaurav, 2018 reported that to improve fatigue life, effect of heat treatment on fatigue life and strength need to be studied for better designing and mechanical system. Also, little or no work has been done to set out the fatigue life of HSLA steel at different annealing temperature; hence this work investigated on the use of Image J to analyze the effect of annealing temperatures on the fatigue properties of 0.17% C HSLA steels.

Samples of HSLA steel containing about 0.17% Carbon were provided and used for this experiment. The samples were grouped into 10 having 5 samples in each of the group. They were then heat treated at different pre-determined temperature as follows: 840˚C, 870˚C, 900˚C, 930˚C, 960˚C and 990˚C respectively and the control which served as the austenizing temperature. Furthermore each of these group of five were held at 30 minutes interval and were then left to cool in the furnace (annealing) before various test were carried out on them..

Figure 1 showed the flowchart of the Image J process of HSLA Steel. In Figure 2(a) Steels taken with metallurgical Optical microscope. The images were uploaded and analyzed with image J software after the capturing of the micrographs. The Image J analysis was then used to analyze for the following parameters, standard deviation, perimeter, angle, circularity, percentage area, ferret angle, roundness, solidity, histogram, 3D dimensioned and results are presented in plate 1:0. Images in Figure 2(a) were threshold by using Image-Adjust and Threshold tool. The threshold color images of Figure 2(b) were masked to give the outlines in Figure 2(d) while Figure 2(f) showed the 3D interactive surface plot drawn by intensity of any color offers a basic vision of observed surface morphology of the steel such as the grid size, the smoothing and the perspective of the minimum and maximum percentage in relation to the z-scale. The circularity (shape descriptors) parameter allows for evaluating the shape of grains. Figure 2(e) showed the bins which is the number used for the particle size distribution histogram while Table 1 showed the microstructural parameters of the six annealed samples of HSLA steels using the Image J analysis (Figures 2-7).

In Figure 8, the Impact and Hardness were conducted using the ASTM E23 for notched bar impact testing, from the figure, it will be observed that the highest hardness point in the series was at 129.4 BHN at 840˚C the hardness decreased gradually to point 118.6 BHN which is at 990˚C. It is worthy of note that 840˚C also had the lowest impact value at 58.75 J and this value was seen to increase significantly to 66.65 J at 990˚. However, it was observed that as the annealing temperature increased, the hardness decreased while the impact increased. This may be due to annealing; because annealing helps to relieve internal stress and improve ductility [16].

In this study, we have successfully analyzed some basic parameters of 0.17% C of HSLA Steels, such as the circularity, ferret angle, solidity and perimeter, average area and the percentage area using image J.

It also showed the differences in the images of the six annealed samples. The method is automated and very reliable and accurate, very fast and can be used

for some sundry analysis. From the mechanical analysis result, the annealed sample at 840˚C has a highest hardness value of 129.4 BHN and an impact value of 58.75 J. It was observed that at 870˚C annealing temperature, the hardness value decreased to 125.2 BHN while the impact value increased to 60.56 J; 900˚C gave a hardness value of 121.7 BHN and impact value of 62.05 J; 930˚C

has a hardness value of 121.7 BHN and impact value of 63.76 J; at 960˚C the hardness value is 120.8 BHN while the impact value increased to 64.80 J. At 990˚C, we had the least value of hardness value of 118.6 BHN and highest impact value of 66.65 J, which means that annealing enhanced the fatigue property and tensile strength (wear strength) of the steel in study.

The authors declare no conflicts of interest regarding the publication of this paper.

Emordi, N.G., Sunday, I. and Obimma, O.B. (2020) Image J Analysis of Six Different Annealed Temperatures of 0.17% C of HSLA Steels. World Journal of Engineering and Technology, 8, 617-629. https://doi.org/10.4236/wjet.2020.84043