TY - JOUR
T1 - Optimal structural design of helical springs with Ludwik-type elastic–plastic materials
AU - Wei, Dongming
AU - Otemissov, Adilet
AU - Mandaiye, Xinaer
AU - Zhao, Shubing
N1 - Publisher Copyright:
© 2025
PY - 2025/12
Y1 - 2025/12
N2 - Motivated by the limitations of idealized power-law assumptions in spring design, this work revisits the optimization of compressive helical springs using a more realistic Ludwik-type elastic–perfect plastic material model. Unlike earlier approaches, we explicitly incorporate the pitch angle in computing the total wire length, improving geometric accuracy. A unified root-solving algorithm is introduced to handle the Karush–Kuhn–Tucker conditions efficiently, eliminating the need for case-by-case treatment. The proposed design is benchmarked against the DIN standard, which is often overlooked in analytical studies. To ensure practical relevance, finite element simulations are performed in COMSOL and show good agreement with theoretical predictions. The combination of refined geometry, nonlinear mechanics, and comparative validation provides a more robust optimization framework that bridges theoretical modeling with engineering practice. We believe this approach offers new insight into spring design for advanced structural materials.
AB - Motivated by the limitations of idealized power-law assumptions in spring design, this work revisits the optimization of compressive helical springs using a more realistic Ludwik-type elastic–perfect plastic material model. Unlike earlier approaches, we explicitly incorporate the pitch angle in computing the total wire length, improving geometric accuracy. A unified root-solving algorithm is introduced to handle the Karush–Kuhn–Tucker conditions efficiently, eliminating the need for case-by-case treatment. The proposed design is benchmarked against the DIN standard, which is often overlooked in analytical studies. To ensure practical relevance, finite element simulations are performed in COMSOL and show good agreement with theoretical predictions. The combination of refined geometry, nonlinear mechanics, and comparative validation provides a more robust optimization framework that bridges theoretical modeling with engineering practice. We believe this approach offers new insight into spring design for advanced structural materials.
KW - Compressive helical spring
KW - Elastic-perfect plastic hardening materials
KW - Geometric programming
KW - Ludwik
KW - Optimal design
UR - https://www.scopus.com/pages/publications/105014801021
UR - https://www.scopus.com/inward/citedby.url?scp=105014801021&partnerID=8YFLogxK
U2 - 10.1016/j.apples.2025.100259
DO - 10.1016/j.apples.2025.100259
M3 - Article
AN - SCOPUS:105014801021
SN - 2666-4968
VL - 24
JO - Applications in Engineering Science
JF - Applications in Engineering Science
M1 - 100259
ER -