Araştırma Makalesi
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A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry

Yıl 2022, Cilt: 25 Sayı: 2, 879 - 885, 01.06.2022
https://doi.org/10.2339/politeknik.911780

Öz

Drawing die complexity is higher than conventional stamping operations, nowadays. It needs to decrease stamping die operation numbers for a part to reduce project budget consumption. Therefore, frequency of tearing, thinning, crack occurrence increase while this amendment. Force, blank cutting, blank location on the drawing die and process optimization were investigated to decrease tearing, thinning and crack occurrence in Transit bodyside inner panels which have over 110 mm. deep drawing process. Formability was improved at the end of this study. Thus production scrap, stoppage time of stamping line were decreased over 90%. This study was conducted at Ford Otosan.

Proje Numarası

Yok

Kaynakça

  • [1] Wang L., An XY., Zhu B., Wang YL., Zhang YS., Research on Intelligent Process and Production Method of Hot Stamping, The 3rd. International Conference on Advantage High Strength Steel and Press Hardening (2017).
  • [2] Kuhnert F., Stürmer C., Five trends transforming the Automotive Industry. Publishing PWC Turkey, (2020).
  • [3] Giampieri A., Ling-Chin J., Ma Z., Smallbone A., Roskilly AP., A review of the current automotive manufacturing practice from an energy perspective. Applied. Energy, (2020).
  • [4] Henriksson F., Introducing New Materials in the Automotive Industry, Linköping University, Sweden, (2017).
  • [5] Badguyar TY., Wani VP., Optimization of stamping process parameters for material thinning with design of experiment approach. IVth. International Conference on Production and Industrial Engineering, (2016).
  • [6] Rai PK., Mohammad A., Jafri HZ., Causes & Preventation of Defects (Burr) In Sheet Metal Component. Int. J. Eng. Res. Appl. (2013).
  • [7] Feistle M., Koslow I., Krinninger M., Golle R., Volk W., Reduction of burr formation for conventional shear cutting of boron-alloyed sheets through focused heat treatment. The 50.th CIRP Conference on Manufacturing Systems, (2017).
  • [8] Özdilli Ö, Erdin M, Comparison of common deep drawing steel Sheets in terms of blank holder force and friction conditions. International Journal of Automotive Science and Technology (2018).
  • [9] Zoesch A, Wiener T, Kuhl M, Zero defect manufacturing: Detection of cracks and Thinning of material during deep drawing processes. 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering (2012).
  • [10] Kakandikar GM., Nandedkar VM., Prediction and optimization of thinning in automotive sealing cover using genetic algorithm. Journal of Computational Design and Engineering 3 (2016).
  • [11] Firat M., A numerical analysis of sheet metal formability for automotive stamping applications Computational Materials Science (2008).
  • [12] Neto DM., Oliveira MC., Santos AD., Alves JL., Menezes LF., Influence of boundary conditions on the prediction of springback and wrinkling in sheet metal forming. International Journal of Mechanical Sciences (2017).
  • [13] Boljanovic V., Sheet Metal Forming Process And Die Design, Industrial Press Book, New York, (2004).
  • [14] Golovashchenko SF., A study on trimming of aluminum autobody sheet and development of a new robust process eliminating burrs and slivers. International Journal of Mechanical Sciences (2006).
  • [15] Sousa R., Incremental Sheet Forming Technologies. Material Science and Enginering, (2016).

Otomotiv Endüstrisinde Kullanılan Derin Çekme Kalıplarında Yeni Bir Optimizasyon Yaklaşımı

Yıl 2022, Cilt: 25 Sayı: 2, 879 - 885, 01.06.2022
https://doi.org/10.2339/politeknik.911780

Öz

Günümüzde otomotiv sektöründeki proje maliyetlerinin günden güne azalarak, karlılığın artması beklenmektedir. Sac şekillendirme süreçlerinde de bu doğrultuda ilerleyerek, daha karmaşık parçaları daha az operasyonda tamamlanması hedeflenmektedir. Bir operasyonda gerçekleştirilen karmaşıklığın artması, plastik şekil verme süreçlerinde daha fazla yırtık, incelme, çatlak problemleri ile karşılaşılmasına neden olmaktadır. Bu çalışmada karmaşık yapılardaki derin çekme parçalarında kuvvet, açınım boşaltmaları, açınım konumlaması gibi optimizasyonlarla yırtık, incelme, çatlak problemlerinin azaltılması amaçlanmıştır. Çalışma sonunda şekillendirme kabiliyetinin arttığı görülmüştür. Bu sayede de imalat süreçlerindeki hurda, hat duruş zamanı %90 oranında azaltılmıştır. Bu çalışma Ford Otosan çatısı altında yürütülmüştür.

Destekleyen Kurum

Yok

Proje Numarası

Yok

Teşekkür

Bu çalışmadan Ford Otosan Grubuna teşekkürü bir borç biliriz.

Kaynakça

  • [1] Wang L., An XY., Zhu B., Wang YL., Zhang YS., Research on Intelligent Process and Production Method of Hot Stamping, The 3rd. International Conference on Advantage High Strength Steel and Press Hardening (2017).
  • [2] Kuhnert F., Stürmer C., Five trends transforming the Automotive Industry. Publishing PWC Turkey, (2020).
  • [3] Giampieri A., Ling-Chin J., Ma Z., Smallbone A., Roskilly AP., A review of the current automotive manufacturing practice from an energy perspective. Applied. Energy, (2020).
  • [4] Henriksson F., Introducing New Materials in the Automotive Industry, Linköping University, Sweden, (2017).
  • [5] Badguyar TY., Wani VP., Optimization of stamping process parameters for material thinning with design of experiment approach. IVth. International Conference on Production and Industrial Engineering, (2016).
  • [6] Rai PK., Mohammad A., Jafri HZ., Causes & Preventation of Defects (Burr) In Sheet Metal Component. Int. J. Eng. Res. Appl. (2013).
  • [7] Feistle M., Koslow I., Krinninger M., Golle R., Volk W., Reduction of burr formation for conventional shear cutting of boron-alloyed sheets through focused heat treatment. The 50.th CIRP Conference on Manufacturing Systems, (2017).
  • [8] Özdilli Ö, Erdin M, Comparison of common deep drawing steel Sheets in terms of blank holder force and friction conditions. International Journal of Automotive Science and Technology (2018).
  • [9] Zoesch A, Wiener T, Kuhl M, Zero defect manufacturing: Detection of cracks and Thinning of material during deep drawing processes. 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering (2012).
  • [10] Kakandikar GM., Nandedkar VM., Prediction and optimization of thinning in automotive sealing cover using genetic algorithm. Journal of Computational Design and Engineering 3 (2016).
  • [11] Firat M., A numerical analysis of sheet metal formability for automotive stamping applications Computational Materials Science (2008).
  • [12] Neto DM., Oliveira MC., Santos AD., Alves JL., Menezes LF., Influence of boundary conditions on the prediction of springback and wrinkling in sheet metal forming. International Journal of Mechanical Sciences (2017).
  • [13] Boljanovic V., Sheet Metal Forming Process And Die Design, Industrial Press Book, New York, (2004).
  • [14] Golovashchenko SF., A study on trimming of aluminum autobody sheet and development of a new robust process eliminating burrs and slivers. International Journal of Mechanical Sciences (2006).
  • [15] Sousa R., Incremental Sheet Forming Technologies. Material Science and Enginering, (2016).
Toplam 15 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Mehmet Mısırlı Bu kişi benim 0000-0001-7993-2932

Aysun Ayday 0000-0003-3719-7006

Proje Numarası Yok
Yayımlanma Tarihi 1 Haziran 2022
Gönderilme Tarihi 9 Nisan 2021
Yayımlandığı Sayı Yıl 2022 Cilt: 25 Sayı: 2

Kaynak Göster

APA Mısırlı, M., & Ayday, A. (2022). A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry. Politeknik Dergisi, 25(2), 879-885. https://doi.org/10.2339/politeknik.911780
AMA Mısırlı M, Ayday A. A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry. Politeknik Dergisi. Haziran 2022;25(2):879-885. doi:10.2339/politeknik.911780
Chicago Mısırlı, Mehmet, ve Aysun Ayday. “A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry”. Politeknik Dergisi 25, sy. 2 (Haziran 2022): 879-85. https://doi.org/10.2339/politeknik.911780.
EndNote Mısırlı M, Ayday A (01 Haziran 2022) A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry. Politeknik Dergisi 25 2 879–885.
IEEE M. Mısırlı ve A. Ayday, “A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry”, Politeknik Dergisi, c. 25, sy. 2, ss. 879–885, 2022, doi: 10.2339/politeknik.911780.
ISNAD Mısırlı, Mehmet - Ayday, Aysun. “A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry”. Politeknik Dergisi 25/2 (Haziran 2022), 879-885. https://doi.org/10.2339/politeknik.911780.
JAMA Mısırlı M, Ayday A. A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry. Politeknik Dergisi. 2022;25:879–885.
MLA Mısırlı, Mehmet ve Aysun Ayday. “A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry”. Politeknik Dergisi, c. 25, sy. 2, 2022, ss. 879-85, doi:10.2339/politeknik.911780.
Vancouver Mısırlı M, Ayday A. A New Process Optimization Of Deep Drawing Part For Sheet Metal Forming In Automotive Industry. Politeknik Dergisi. 2022;25(2):879-85.
 
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