Estimation of cutting forces and surface roughness for hard turning using neural networks

Sharma, Vishal S.; Dhiman, Suresh; Sehgal, Rakesh; Sharma, S.K.

doi:10.1007/s10845-008-0097-1

Cited by 157 publications

(75 citation statements)

References 12 publications

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“…The result mentioned that cutting force values decreased at a higher level of cutting speed due to temperature increase with increase in cutting speed. Sharma et al [9] developed a mathematical model to create relationship between machining parameters and cutting force components. The developed model was used to predict the accurate results.…”

Section: Literature Reviewmentioning

confidence: 99%

Experimental Investigation on Cutting Forces, Specific Cutting Pressure, Co-Efficient of Friction and Shear Energy in Turning of HSLA Steel

Singaravel

Selvaraj

2016

Management and Production Engineering Review

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Accepted: 26 February 2016 Machinability study of a material is used to find the ease and difficulty during machining operation. High Strength Low Alloy (HSLA) medium carbon steel (EN25 steel) is considered to possess better mechanical properties than carbon steel. In this work, an attempt is made to experimentally investigate and realize the machinability of EN25 steel during turning with coated carbide tools. The effects of machining parameters on cutting force components, Specific Cutting Pressure (SCP), co-efficient of friction and shear energy are analysed during the investigation. The results of the investigation revealed that the mentioned machinability characteristics are necessary and essential to evaluate the machinability of HSLA steel effectively.

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Section: Literature Reviewmentioning

confidence: 99%

Experimental Investigation on Cutting Forces, Specific Cutting Pressure, Co-Efficient of Friction and Shear Energy in Turning of HSLA Steel

Singaravel

Selvaraj

2016

Management and Production Engineering Review

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“…Knowledge of the cutting forces is needed for the estimation of power requirements, the adequately rigid design of machine tool elements, tool-holders, and fixtures, for vibration free operations [7][8]. Sutter et al [9] studied the effects of the cutting speed and depth of cut on the temperature profile of the chip during an orthogonal machining of 42 CrMo 4 steel using standard carbide tools TiCN coated, it was observed that temperature at the chip increases with the increase in both cutting speed and the depth of cut.…”

Section: Introductionmentioning

confidence: 99%

Study of the performances of nano-case treatment cutting tools on carbon steel work material during turning operation

Afolalu¹,

Okokpujie²,

Salawu³

et al. 2018

AIP Conference Proceedings

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Abstract:The degree of holding temperature and time play a major role in nano-case treatment of cutting tools which immensely contributed to its performance during machining operation. The objective of this research work is to carryout comparative study of performance of nano-case treatment tools developed using low and medium carbon steel as work piece. Turning operation was carried out under two different categories with specific work piece on universal lathe machine using HSS cutting tools 100 mm x 12mm x 12mm that has been nano-case treated under varying conditions of temperatures and timeof 800,850, 900, 950 o C and 60, 90, 120 mins respectively. The turning parameters used in evaluating this experiment were cutting speed of 270, 380 and 560mm/min, feed rate of 0.15, 0.20 and 0.25 mm/min, depth of cut of 2mm, work piece diameter of 25mm and rake angle of 7 o each at three levels. The results of comparative study of their performances revealed that the timespent in the machining of low carbon steel material at a minimum temperature and time of800°C, 60 mins were1.50, 2.17 mins while at maximum temperature and time of 950°C , 120 mins were 1.19, 2.02 mins. It was also observed that at a corresponding constant speed of 270,380 and 560mm/min at higher temperature and time, a relative increased in the length of cut were observed.Critical observation of the result showed that at higher case hardening temperature and time (950°C/120mins), the HSS cutting tool gave a better performance as lesser time was consumed during the turning operation.

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“…However, the limitation of the FEM is in computing time and the accuracy of the results always need to be improved. Artificial neural network provides new ways for cutting force model [5][6][7], and it can process the nonlinear relationship of the process parameters to determine the force. But the calculation is very complicated and time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Improved method to predict cutting force in end milling considering cutting process dynamics

Zhao

Wang

et al. 2015

Int J Adv Manuf Technol

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Accurate cutting force prediction in end milling plays an important role in studying the characteristics of milling to improve the machining quality and optimize the machining processes. To this end, a new method that improves cutting force prediction accuracy by considering cutting process dynamics and simplifies the process of computing the dynamic chip thickness is presented in this paper. The static chip thickness is calculated and the cutting process dynamics is taken into account in this method. To ensure the result accuracy and improve computing efficiency, Taylor's series is adopted to acquire static chip thickness. Meanwhile, as feedback, the dynamic chip thickness caused by the cutter-workpiece system subjected to the cutting force is superposed on static chip thickness to get more accurate cutting force. Finally, the proposed method by dint of closed-loop system to acquire more accurate cutting force is experimentally validated in milling of plastic die steel NAK80 with a four fluted flat-end milling cutter. Cutting force coefficients and modal parameters are identified based on the experiment. Both the simulations with and without considering dynamics show good agreement with

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Estimation of cutting forces and surface roughness for hard turning using neural networks

Cited by 157 publications

References 12 publications

Experimental Investigation on Cutting Forces, Specific Cutting Pressure, Co-Efficient of Friction and Shear Energy in Turning of HSLA Steel

Experimental Investigation on Cutting Forces, Specific Cutting Pressure, Co-Efficient of Friction and Shear Energy in Turning of HSLA Steel

Study of the performances of nano-case treatment cutting tools on carbon steel work material during turning operation

Improved method to predict cutting force in end milling considering cutting process dynamics

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