Comparative Study of Temperature Prediction in the Machining Process of Ti-6Al-4V, Inconel 718 and AISI4340 Using Numerical Analysis

2021 ◽  
pp. 579-588
Author(s):  
Tiyamike Banda ◽  
Kok-Cheong Wong ◽  
Ali Akhavan Farid ◽  
Chin Seong Lim
Keyword(s):  
Numerical Analysis ◽  
Comparative Study ◽  
Inconel 718 ◽  
Machining Process ◽  
Temperature Prediction

Numerical Simulation of Cutting Force in High Speed Machining of Inconel 718

2020 ◽  
Vol 856 ◽  
pp. 43-49
Author(s):  
Santosh Kumar Tamang ◽  
Nabam Teyi ◽  
Rinchin Tashi Tsumkhapa
Keyword(s):  
Cutting Force ◽  
Inconel 718 ◽  
High Speed ◽  
Experimental Results ◽  
Machining Process ◽  
Experimental Result ◽  
Work Piece ◽  
High Speed Machining ◽  
Numerical Result ◽  
3D Software

Machining is one of the major manufacturing processes that converts a raw work piece of arbitrary size into a finished product of definite shape of predetermined size by suitably controlling the relative motion between the tool and the work. Lately, machining process is shifting towards high speed machining (HSM) from conventional machining to improve and efficiently increase production, and towards dry machining from excessive coolant used wet machining to improve economy of production. And the tools used are mostly hardened alloys to facilitate HSM. The work piece materials are continually improving their properties by emergence and development of newer and high resistive super alloys (HRSA). In this paper an attempt has been made to validate an experimental result of cutting force obtained by performing HSM on an HRSA Inconel 718, by comparing it with the numerical result obtained by simulating the same setting using DEFORM 3D software. Based on the comparison it is found that the simulated results exhibit close proximity with the experimental results validating the experimental results and the effectiveness of the software.

scholarly journals Modelling of Rotary EDM Process Parameters of Inconel 718 Using Artificial Neural Networks

Mechanika ◽  
2020 ◽  
Vol 26 (6) ◽  
pp. 540-544
Author(s):  
Jayaraj JEEVAMALAR ◽  
Sundaresan RAMABALAN ◽  
Chinnamuthu SENTHILKUMAR
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Process Parameters ◽  
Inconel 718 ◽  
Machining Process ◽  
Artificial Neural ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Matlab Programming ◽  
The Relationship

Modelling is used for correlating the relationship between the input process parameters and the output responses during the machining process. To characterize real-world systems of considerable complexity, an Artificial Neural Network (ANN) model is regularly used to replace the mathematical approximation of the relationship. This paper explains the methodological procedure and the outcome of the ANN modeling process for Electrical Discharge Drilling of Inconel 718 superalloy and hollow tubular copper as tool electrode. The most important process parameters in this work are peak current, pulse on time and pulse off time with machining performances of material removal rate and surface roughness. The experiments were performed by L20 Orthogonal Array. In such conditions, an Artificial Neural Network model is developed using MATLAB programming on the Feed Forward Back Propagation technique was used to predict the responses. The experimental data were separated into three parts to train, test the network and validate the model. The developed model has been confirmed experimentally for training and testing in considering the number of iterations and mean square error convergence criteria. The developed model results are to approximate the responses fairly exactly. The model has the mean correlation coefficient of 0.96558. Results revealed that the proposed model can be used for the prediction of the complex EDM drilling process.

Numerical analysis and comparative study of short circuit stress in IGBTs devices (IR, IXYS)

2007 ◽  
Vol 47 (9-11) ◽  
pp. 1773-1778 ◽  
Author(s):  
Ly. Benbahouche ◽  
A. Merabet ◽  
A. Zegadi
Keyword(s):  
Numerical Analysis ◽  
Comparative Study ◽  
Short Circuit

A comparative study between internal spray cooling and conventional external cooling in drilling of Inconel 718

2019 ◽  
Vol 104 (9-12) ◽  
pp. 4581-4592 ◽  
Author(s):  
Xuda Qin ◽  
Wentao Liu ◽  
Shipeng Li ◽  
Wei Tong ◽  
Xiaolai Ji ◽  
...  
Keyword(s):  
Comparative Study ◽  
Inconel 718 ◽  
Spray Cooling ◽  
External Cooling

scholarly journals Hybrid machining process: experimental and numerical analysis of hot ultrasonically assisted turning

2018 ◽  
Vol 97 (5-8) ◽  
pp. 2173-2192 ◽  
Author(s):  
Riaz Muhammad ◽  
Naseer Ahmed ◽  
Himayat Ullah ◽  
Anish Roy ◽  
Vadim V. Silberschmidt
Keyword(s):  
Numerical Analysis ◽  
Machining Process ◽  
Hybrid Machining ◽  
Hybrid Machining Process

scholarly journals Investigation of Cutting Temperature during Turning Inconel 718 with (Ti,Al)N PVD Coated Cemented Carbide Tools

Materials ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1281 ◽  
Author(s):  
Jinfu Zhao ◽  
Zhanqiang Liu ◽  
Qi Shen ◽  
Bing Wang ◽  
Qingqing Wang
Keyword(s):  
Physical Properties ◽  
Inconel 718 ◽  
Great Influence ◽  
Cutting Temperature ◽  
Cemented Carbide ◽  
Machining Process ◽  
Coated Tools ◽  
Cemented Carbide Tools ◽  
Coated Cemented Carbide ◽  
Thermo Physical Properties

Physical Vapor Deposition (PVD) Ti1−xAlxN coated cemented carbide tools are commonly used to cut difficult-to-machine super alloy of Inconel 718. The Al concentration x of Ti1−xAlxN coating can affect the coating microstructure, mechanical and thermo-physical properties of Ti1−xAlxN coating, which affects the cutting temperature in the machining process. Cutting temperature has great influence on the tool life and the machined surface quality. In this study, the influences of PVD (Ti,Al)N coated cemented carbide tools on the cutting temperature were analyzed. Firstly, the microstructures of PVD Ti0.41Al0.59N and Ti0.55Al0.45N coatings were inspected. The increase of Al concentration x enhanced the crystallinity of PVD Ti1−xAlxN coatings without epitaxy growth of TiAlN crystals. Secondly, the mechanical and thermo-physical properties of PVD Ti0.41Al0.59N and Ti0.55Al0.45N coated tools were analyzed. The pinning effects of coating increased with the increasing of Al concentration x, which can decrease the friction coefficient between the PVD Ti1−xAlxN coated cemented carbide tools and the Inconel 718 material. The coating hardness and thermal conductivity of Ti1−xAlxN coatings increased with the increase of Al concentration x. Thirdly, the influences of PVD Ti1−xAlxN coated tools on the cutting temperature in turning Inconel 718 were analyzed by mathematical analysis modelling and Lagrange simulation methods. Compared with the uncoated tools, PVD Ti0.41Al0.59N coated tools decreased the heat generation as well as the tool temperature to reduce the thermal stress generated within the tools. Lastly, the influences of Ti1−xAlxN coatings on surface morphologies of the tool rake faces were analyzed. The conclusions can reveal the influences of PVD Ti1−xAlxN coatings on cutting temperature, which can provide guidance in the proper choice of Al concentration x for PVD Ti1−xAlxN coated tools in turning Inconel 718.

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