A Novel Statistical Analysis for Residual Stress in Injection Molding

American Journal of Operations Research

ISSN Print: 2160-8830
ISSN Online: 2160-8849
www.scirp.net/journal/ajor
E-mail: [email protected]

Citations

"A Novel Statistical Analysis for Residual Stress in Injection Molding"
written by Faisal Alkaabneh, Mahmoud Barghash, Yousef Abdullat,
published by American Journal of Operations Research, Vol.6 No.1, 2016

has been cited by the following article(s):

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[1]	Study of Residual Wall Thickness and Multiobjective Optimization for Process Parameters of Water-Assisted Injection Molding
	2020

[2]	Investigation of process parameters for T-joint aluminum alloy 6061-T6 with nanocomposites material friction stir welding based on the Taguchi method
	2020

[3]	Study of Residual Wall thickness and multiobjective optimization for process parameters of water‐assisted injection molding
	Advances in Polymer Technology, 2020

[4]	Evaluación del efecto de las tensiones residuales en piezas plásticas inyectadas y su desempeño mecánico
	2019

[5]	Influencia de las condiciones de proceso en las propiedades mecánicas de piezas plásticas inyectadas
	2017

[6]	CAE
	2016

[1]	Study of Residual Wall Thickness and Multiobjective Optimization for Process Parameters of Water-Assisted Injection Molding Advances in Polymer Technology, 2020 DOI:10.1155/2020/3481752

[2]	Reference Module in Materials Science and Materials Engineering 2017 DOI:10.1016/B978-0-12-803581-8.04135-7

[3]	CAE Seikei-Kakou, 2016 DOI:10.4325/seikeikakou.28.275

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