Punch structure, punch wear and cut profiles of AISI 304 stainless steel sheet blanks manufactured using cryogenically treated AISI D3 tool steel punches

Arslan, Yusuf; Özdemir, Ahmet

doi:10.1007/s00170-016-8515-6

Cited by 15 publications

(8 citation statements)

References 33 publications

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“…In the current literature, many authors analyze the process of mechanical cutting of various types of metal materials. The research concerns mainly the influence of technological parameters of the processes of blanking, punching, guillotining and trimming on the quality of the sheared edge [10,[13][14][15]. This is because in the production cycle, mechanical cutting processes can cause cut edge defects in the form of burrs, slivers and edge rollover.…”

Section: Introductionmentioning

confidence: 99%

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Effect of fiber and CO2 lasers parameters on the cut surface quality of RVS 1.4301 stainless steel

Bohdal

Schmidtke

2022

JMES

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The paper presents the results of experimental research related to the process of cutting of t = 3 mm and t = 6 mm thick RVS 1.4301 (AISI 304, EN X5CrNi18-10) stainless steel using a fiber and CO2 lasers. The correct selection of technological parameters and the maintenance of the machines in the right technical condition allow obtaining very high quality of the cut edge, which will not require additional mechanical treatment. However, this is a complex issue. Appropriate control of the cutting process requires knowledge about the impact of individual parameters on the process and the quality of the cut edge. The influence of selected parameters and conditions of the laser cutting process on the technological quality of the obtained product was determined. The laser power and cutting speed had a significant influence on the output factors for two cutting techniques.For cutting material with a thickness of t = 3 mm with a CO2 laser, the highest quality of the cut edge was obtained using the power values P = 4200-4300 W and cutting speed v = 2100 mm/min. For the thickness t = 6 mm, the speed values should be approximately set in range v = 1600-1800 mm/min. The power value should be selected in a range from P = 3700 W to P = 4200 W. For a fiber laser with a material thickness of t = 3 mm, the best results were obtained using speeds in the range v = 2000-3300 mm/min. For the thickness of t = 6 mm, the cutting speed must be higher and in the range v = 3500-4000 mm/min while maintaining the power of about P = 4500-4800 W. The conducted experimental research can be useful on production lines in the aspect of the correct selection of technological parameters of the process due to the adopted energy and quality criteria.

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Section: Introductionmentioning

confidence: 99%

“…The geometry of the cut edge and the punch wear are closely related. Excessive wear of cutting tools causes deviations in the shape of the workpiece [13]. CO2 lasers are the most widely used lasers in subtractive machining, especially in cutting materials.…”

Section: Introductionmentioning

confidence: 99%

Effect of fiber and CO2 lasers parameters on the cut surface quality of RVS 1.4301 stainless steel

Bohdal

Schmidtke

2022

JMES

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“…Önceleri kalıp malzemelerine uygulanan kriyojenik işlem günümüzde işlenebilirlik çalışmalarında malzemelere ve kesici takımlara uygulanarak kesme şartlarının iyileşmesi yönünde ciddi gelişmeler sağlanmıştır [3]. Kriyojenik işlemin işleme performansına etkileri, tornalama, frezeleme ve delik delme gibi geleneksel imalat yöntemlerinde geniş kapsamda incelenmektedir [4][5][6][7]. Ancak, kriyojenik işlemin geleneksel olmayan imalat yöntemlerine etkileri henüz geleneksel imalat yöntemlerinde olduğu gibi geniş kapsamda incelenmemiştir.…”

Section: Introductionunclassified

Kriyojenik İşlem Görmüş Nikel Esaslı Süperalaşımın Elektro-Erozyon İşleme Performansı Optimizasyonu

Nas

Akincioğlu

2019

Academic Platform Journal of Engineering and Science

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Bu çalışmada kriyojenik işlem uygulanmış nikel esaslı süper alaşımın elektro erozyon işleme (EEİ) ile işlenme performansı araştırılmıştır. Bu amaçla ısıl dirençli nikel esaslı süper alaşıma sığ ve derin kriyojenik işlem uygulanmıştır. Deneylerde kullanılan parametreler deney maliyetini azaltmak için Taguchi L9 ortogonal diziyle tasarlanmış olup elde edilen sonuçlar istatistiksel olarak incelenerek kriyojenik işlemin yüzey pürüzlülüğü ve malzeme aşınma kaybı (MAK) etkisi araştırılmıştır. Her iki çıktı parametresi için en ideal parametrelerin belirlenmesinde ise Gray-Taguchi yaklaşımı kullanılmıştır. Yapılan çalışmanın sonucunda; yanıt tabloları incelendiğinde yüzey pürüzlülük değerleri için en etkili parametrenin malzeme ve vurum süresi için sırası ile A1B1, malzeme aşınma kaybı için ise A2B1 olarak belirlenmiştir. Anova sonuçlarına göre yüzey pürüzlülüğü için en etkili parametrenin %70,99 ile vurum süresi olarak, malzeme aşınma kaybı için ise % 71,66 ile malzeme olarak oluştuğu belirlenmiştir. Maksimum aşınma miktarı ve en düşük yüzey pürüzlülük değeri için gri ilişkisel derecesi hesaplandığında her ikisi için ideal faktörler birinci deney ile gerçekleştirilen parametrelerde oluştuğu tespit edilmiştir.

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“…From the previous studies; the punching parameters, type, thickness, die clearance and piercing forces of the workpiece can see to affect the hole form ( Fig. 2) [1][2][3]. To combat today's markets, long-lasting dies and punches, less waste, better quality production should be made.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, traditional heat treatments are realized to increase the production speed and service life of die components made of such as cold work tool steels DIN 1.2080, 2379 running under large loads. So, the mechanical properties and abrasion resistance can be increased by heat treatment [3,4]. Artificial neural networks (ANNs) are widely used to model the comportment of the brain functions and human nervous system [11,12].…”

Section: Introductionmentioning

confidence: 99%

Weight losses estimation of industrial punch tools

Arslan¹

2019

ijisae

Self Cite

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Many studies have been conducted on the estimation of weight losses of industrial tools; however, these investigations are scarce. And there is no prediction study on the weight loss of industrial punches. An artificial neural network model (ANN) was proposed in order to establish relationships with the field data including input parameters as punch diameter, punch stroke, stroke noise, and punch temperature and output parameter as weight loss of punch. Effect of each parameter on the weight loss of industrial punch was analyzed with the developed model. An empirical formula was also obtained with the generalization capabilities of the ANN system. Analysis results showed that the estimation results are in good agreement with the field data. And these numerical results with high efficiency can make it possible to use the neural designs for real-life industrial punch estimation applications.

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Punch structure, punch wear and cut profiles of AISI 304 stainless steel sheet blanks manufactured using cryogenically treated AISI D3 tool steel punches

Cited by 15 publications

References 33 publications

Effect of fiber and CO2 lasers parameters on the cut surface quality of RVS 1.4301 stainless steel

Effect of fiber and CO2 lasers parameters on the cut surface quality of RVS 1.4301 stainless steel

Kriyojenik İşlem Görmüş Nikel Esaslı Süperalaşımın Elektro-Erozyon İşleme Performansı Optimizasyonu

Weight losses estimation of industrial punch tools

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