Journal: J. Computational Design and Engineering

Volume 8, Issue 4

995 -- 1012Euijeong Song, Seokjung Kim, Seok Chung, Minho Chang. SRPS-deep-learning-based photometric stereo using superresolution images
1013 -- 1022Woorim Choi, Dahong Kim, Sungjae Lee, Yong-Gu Lee. New modeling approach for 4D printing by using kinetic components
1023 -- 1036Malinda Vania, Deukhee Lee. Intervertebral disc instance segmentation using a multistage optimization mask-RCNN (MOM-RCNN)
1037 -- 1058Damijan Zorko, Joze Duhovnik, Joze Tavcar. Tooth bending strength of gears with a progressive curved path of contact
1059 -- 1081Chungang Zhuang, Zhenhua Xiong, Han Ding. Temperature-constrained topology optimization of nonlinear heat conduction problems
1082 -- 1097Taek Jin Jang, Jong-Bong Kim, Hyunho Shin. Identification of plastic constitutive Johnson-Cook model parameters by optimization-based inverse method
1098 -- 1114Saekyeol Kim, Shinyu Kim, Taeheok Choi, Taejoon Kwon, Tae Hee Lee, Kwangrae Lee. Automatic design system for generating routing layout of tubes, hoses, and cable harnesses in a commercial truck
1115 -- 1124Hyun-Duk Seo, Jae-Min Lee. Novel welding distortion analysis method for large welded structures using orthotropic thermal expansion coefficients
1125 -- 1140Quang-Phap Luong, Jong Ho Nam. Surface modification by superimposing piecewise shape function satisfying hull variation given by arbitrary characteristic curve on surface
1141 -- 1157Kasin Ransikarbum, Rapeepan Pitakaso, Namhun Kim, Jungmok Ma. Multicriteria decision analysis framework for part orientation analysis in additive manufacturing
1158 -- 1171Shahina Akter, Mohammad Ferdows, Tasveer A. Bég, O. Anwar Bég, A. Kadir, Shuyu Sun 0001. Spectral relaxation computation of electroconductive nanofluid convection flow from a moving surface with radiative flux and magnetic induction
1172 -- 1189Niloofar Tavasoli, Khosro Rezaee, Mohammadreza Momenzadeh, Mohammadreza Sehhati. An ensemble soft weighted gene selection-based approach and cancer classification using modified metaheuristic learning