Methoden vergelijken

	Response Surface Methodology met de Desirability Function Optimalisatie	Topologie-optimalisatie (SIMP)
Vakgebied	Betrouwbaarheidstechniek	Betrouwbaarheidstechniek
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	1951	1988
Grondlegger	George Box and Kenneth Wilson	Martin Bendsoe and Noboru Kikuchi
Type	Optimization methodology	Generative design algorithm
Oorspronkelijke bron	Box, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, 13(1), 1-45.	Bendsoe, M. P., & Kikuchi, N. (1988). Generating optimal topologies in structural design using a homogenization method. Computer Methods in Applied Mechanics and Engineering, 71(2), 197-224.
Aliassen	RSM, Desirability function, Multi-response optimization	SIMP, Topology design, Generative design, Density-based optimization
Verwant	4	4
Samenvatting	Response Surface Methodology (RSM) is a set of statistical and mathematical techniques for modeling and optimizing processes with multiple inputs (factors) and outputs (responses). The Desirability Function approach, introduced by Harrington (1965) and refined by Derringer and Suich (1980), extends RSM to solve multi-response optimization problems by combining competing objectives into a single index. This methodology is essential in product and process development where engineers must balance performance, cost, and reliability.	Topology Optimization is a computational method for distributing material optimally within a design space to maximize structural performance (strength, stiffness) while minimizing weight or cost. The Solid Isotropic Material with Penalization (SIMP) method, developed by Bendsoe and Kikuchi (1988), iteratively refines a material density distribution across the design domain using sensitivity analysis and gradient-based optimization. SIMP has revolutionized structural design in aerospace, automotive, and mechanical engineering by automating the generation of efficient structures.