Universität Stuttgart
Permanent URI for this communityhttps://elib.uni-stuttgart.de/handle/11682/1
Browse
1 results
Search Results
Item Open Access Modeling and optimization of turning duplex stainless steels(2015) Ali, Rastee Dalshad; Heisel, Uwe (Univ.-Prof. Dr.-Ing. Prof. h. c. mult. Dr. h. c. mult.)In the present dissertation, machining investigations into duplex stainless steels are performed under different and systematically well-structured modeling and optimization frameworks. Focusing on the main objective of finding optimum machining process parameters and com-prehensively applying the statistical design of experiments to design the experiments, the study tackles the challenge of integrating modeling and optimization algorithms using six different approaches. Firstly, sets of non-dominated optimal solutions are obtained during cutting standard EN 1.4462 and super EN 1.4410 duplex grades employing statistical regres-sion and Multi-Objective Bat Algorithm. Secondly, fuzzy implication rules are used to derive a universal characteristics index to simultaneously eliminate the discrepancy among the rank-ing system of four multiple attribute decision-making methods and define the optimum cut-ting condition during the facing of austenitic EN 1.4404, duplex EN 1.4462 and 1.4410 stain-less steels at constant cutting speeds. Thirdly, the Taguchi-VIKOR-Meta-heuristic concept is proposed and applied to the mono- and multi-objective optimization of austenitic and duplex stainless steels. Fourthly, a novel approach based on the fuzzy set theory is applied to optimize the multiple surface quality characteristics of austenitic and duplex stainless steels. Fifthly, the multi-pass facing of duplex stainless steels at constant cutting speeds is sustainably optimized using the hybridization of statistical and computation modeling as well as optimization techniques. A new sustainability index is defined and a novel Cuckoo Search for neural network system algorithms is employed for the modeling and optimization. Lastly, the finite element simulation of turning duplex stainless steels is performed, and a novel procedure of the inverse identification of the input parameters is proposed. Statistical and computational optimization techniques are employed to minimize the percentage difference between experimental and numerical results. The study also covers the hypothetical application of finite element simulations in defining the optimum criteria during cutting duplex stainless steels.