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Process optimization for hot forging of difficult parts by computer experiments and response surface analysis

Yıl 2022, Cilt: 3 Sayı: 2, 33 - 45, 11.01.2023

Öz

Closed die hot forging of 304L stainless steel is difficult compared to carbon and micro-alloyed steels in terms of higher forming force and defects. An appropriate combination of design and process factors including cross-section diameter, initial billet temperature, and flash land thickness is crucial to minimize the forming force without causing any under-filling or folding defects. This paper aims to develop an optimized closed-die hot forging process for long, thin, and tubular rail body components used in gasoline direct injection systems. The effects on the forging load are investigated using computer experiments containing the finite element method under a full factorial array of three factors at three levels to obtain the main and interaction effects. Linear and quadratic surface response analyses are performed to define the relation between forging load and input factors, and finally, the simulations are validated with some limited experiments. The simulation results that fit the nonlinear regression model were in close agreement with the experiments, and an optimal set of parameters is conveniently proposed for industrial production.

Yıl 2022, Cilt: 3 Sayı: 2, 33 - 45, 11.01.2023

Öz

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Ayrıntılar

Birincil Dil İngilizce
Konular Makine Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Barış Kabataş Bu kişi benim 0000-0002-2160-3746

Haydar Livatyalı 0000-0002-9542-2390

Birgül Aşçıoğlu Temiztaş 0000-0003-2459-8708

Yayımlanma Tarihi 11 Ocak 2023
Yayımlandığı Sayı Yıl 2022 Cilt: 3 Sayı: 2

Kaynak Göster

APA Kabataş, B., Livatyalı, H., & Aşçıoğlu Temiztaş, B. (2023). Process optimization for hot forging of difficult parts by computer experiments and response surface analysis. Journal of Advances in Manufacturing Engineering, 3(2), 33-45.
AMA Kabataş B, Livatyalı H, Aşçıoğlu Temiztaş B. Process optimization for hot forging of difficult parts by computer experiments and response surface analysis. J Adv Manuf Eng. Ocak 2023;3(2):33-45.
Chicago Kabataş, Barış, Haydar Livatyalı, ve Aşçıoğlu Temiztaş Birgül. “Process Optimization for Hot Forging of Difficult Parts by Computer Experiments and Response Surface Analysis”. Journal of Advances in Manufacturing Engineering 3, sy. 2 (Ocak 2023): 33-45.
EndNote Kabataş B, Livatyalı H, Aşçıoğlu Temiztaş B (01 Ocak 2023) Process optimization for hot forging of difficult parts by computer experiments and response surface analysis. Journal of Advances in Manufacturing Engineering 3 2 33–45.
IEEE B. Kabataş, H. Livatyalı, ve B. Aşçıoğlu Temiztaş, “Process optimization for hot forging of difficult parts by computer experiments and response surface analysis”, J Adv Manuf Eng, c. 3, sy. 2, ss. 33–45, 2023.
ISNAD Kabataş, Barış vd. “Process Optimization for Hot Forging of Difficult Parts by Computer Experiments and Response Surface Analysis”. Journal of Advances in Manufacturing Engineering 3/2 (Ocak 2023), 33-45.
JAMA Kabataş B, Livatyalı H, Aşçıoğlu Temiztaş B. Process optimization for hot forging of difficult parts by computer experiments and response surface analysis. J Adv Manuf Eng. 2023;3:33–45.
MLA Kabataş, Barış vd. “Process Optimization for Hot Forging of Difficult Parts by Computer Experiments and Response Surface Analysis”. Journal of Advances in Manufacturing Engineering, c. 3, sy. 2, 2023, ss. 33-45.
Vancouver Kabataş B, Livatyalı H, Aşçıoğlu Temiztaş B. Process optimization for hot forging of difficult parts by computer experiments and response surface analysis. J Adv Manuf Eng. 2023;3(2):33-45.