Investigations on tool wear behavior in turning AISI 304 stainless steel: An empirical and neural network modeling approach

被引:2
作者
Chinchanikar, Satish [1 ]
Gadge, Mahendra [1 ]
机构
[1] Vishwakarma Inst Informat Technol, Mech Dept, Pune, India
来源
FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY | 2024年 / 18卷 / 67期
关键词
AISI; 304; Tool wear; Fracture; Adhesion; Subtractive manufacturing; Modeling; FLANK WEAR; PROGRESSION;
D O I
10.3221/IGF-ESIS.67.13
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Machining with a cutting edge with extensive damage or a fractured cutting edge significantly influences the machining performance. Therefore, investigations on tool wear behavior, their forms, and wear mechanisms will be very helpful in the current environment of sustainable manufacturing. On the other hand, the machining economy is negatively impacted by replacing the tool well before its useful life. This proactive maintenance planning reduces the risk of sudden tool failure and potential workpiece damage. Accordingly, the current work creates empirical and ANN models to predict flank wear growth for turning AISI 304 stainless steel using a MTCVD-TiCN/Al2O3 coated carbide tool. The experiments were designed to cover a broad range of operating conditions to ensure the model's accuracy and applicability in practical machining scenarios. An ANN was modeled using a feedforward backpropagation machine learning technique. In this study, a higher prediction accuracy of 0.9975 was achieved with ANN model as compared to the empirical model. The most common wear mechanism observed is metal adhesion, followed by fracture due to the pulling away of adhered material. The developed models have been found to be valuable for optimizing cutting parameters and enhancing tool life in machining. © 2024 Frat. Integrita Strutr. All rights reserved.
引用
收藏
页码:176 / 191
页数:16
相关论文
共 16 条
[1]   Influence of cutting speed on dry machinability of AISI 304 stainless steel [J].
Bedi, Surjeet Singh ;
Sahoo, Sarthak Prasad ;
Vikas, Bikkina ;
Datta, Saurav .
MATERIALS TODAY-PROCEEDINGS, 2021, 38 :2174-2180
[2]  
Chinchanikar Satish, 2013, International Journal of Manufacturing Technology and Management, V27, P4, DOI 10.1504/IJMTM.2013.058626
[3]   ANN modelling of surface roughness of FDM parts considering the effect of hidden layers, neurons, and process parameters [J].
Chinchanikar, Satish ;
Shinde, Sourabh ;
Gaikwad, Vaibahv ;
Shaikh, Avez ;
Rondhe, Mayur ;
Naik, Mohit .
ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES, 2024, 10 (01) :22-32
[4]   Predictive modeling for flank wear progression of coated carbide tool in turning hardened steel under practical machining conditions [J].
Chinchanikar, Satish ;
Choudhury, S. K. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 76 (5-8) :1185-1201
[5]   Experimental investigations to optimise and compare the machining performance of different coated carbide inserts during turning hardened steel [J].
Chinchanikar, Satish ;
Choudhury, Sounak K. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2014, 228 (09) :1104-1117
[6]   Modeling the progression of flank wear on uncoated and ceramic-coated polycrystalline cubic boron nitride tools in hard turning [J].
Dawson, TG ;
Kurfess, TR .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2006, 128 (01) :104-109
[7]   Optimisation of tool wear during hard turning of AISI-H11 steel using TiN coated CBN-L tool [J].
Dureja, J.S. .
International Journal of Machining and Machinability of Materials, 2012, 12 (1-2) :37-53
[8]   Modeling of CBN tool flank wear progression in finish hard turning [J].
Huang, Y ;
Liang, SY .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2004, 126 (01) :98-106
[9]  
Kulkarni A, 2018, Procedia Manufacturing, V20, P548, DOI [10.1016/j.promfg.2018.02.082, DOI 10.1016/J.PROMFG.2018.02.082, 10.1016/j.promfg.2018.02.082]
[10]   The effectiveness of coatings when turning hardened cold work tool steel AISI D2 (60 HRC) [J].
Mohamad, Ahmad Kamely ;
Yusof, Noordin Mohd ;
Ourdjini, Ali ;
Venkatesh, Vellore Chelvaraj .
International Journal of Machining and Machinability of Materials, 2008, 4 (01) :63-75