• Title/Summary/Keyword: Predictive Machining Theory

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A Study on the cutting forces prediction using machining theory in end milling (절삭이론을 이용한 엔드밀 가공에서의 절삭력 예측에 관한 연구)

  • Jung, Sung-Chan;Kim, Kug-Weon
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.928-933
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    • 2004
  • A new approach for modelling and simulation of the cutting forces in end milling processes is presented. In this approach, the cutting forces in end milling are modelled based on a predictive machining theory, in which the machining characteristic factors are predicted from input data of fundamental workpiece material properties, tool geometry and cutting conditions. In the model, each tooth of a end milling cutter is divided into a number of slices along the cutter axis. The cutting action of each of the slices is modelled as an oblique cutting process. For the first slice of each tooth, it is modelled as oblique cutting with end cutting edge effect, whereas the cutting actions of other slices are modelled as oblique cutting without end cutting edge effect. The cutting forces in the oblique cutting processes are predicted using a predictive machining theory. The total cutting forces acting on the cutter is obtained as the sum of the forces at all the cutting slices of all the teeth. A Windows-based simulation system for the cutting forces in end milling is developed using the model. Experimental milling tests have been conducted to verify the simulation system.

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Theoretical Modeling for the Prediction of Face Milling Forces (정면밀링 절삭력 예측을 위한 이론적 모델링)

  • Kim, Kug-Weon;Lee, Woo-Young;Choi, Sung-Joo
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.7 no.3
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    • pp.96-102
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    • 2008
  • In order to design establish automation or optimization of the machining process, predictions of the forces in machining are often needed. In this paper, a theoretical model in face milling is presented based on Oxley's predictive machining theory, where the cutting forces are predicted from input data of fundamental work material properties, tool geometry and cutting conditions without any preliminary cutting experiment. A simulation system for the cutting forces in face milling is developed using the model. Milling experimental tests are conducted to verify the model and the predictive results are compared and discussed with the experimental results.

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Modeling of the Specific Cutting Pressure and Prediction of the Cutting Forces in Face Milling (정면 밀링 가공에서의 비절삭 저항 모델링 및 절삭력 예측)

  • Kim, Kug-Weon;Joo, Jung-Hoon;Lee, Woo-Young;Choi, Sung-Joo
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.5
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    • pp.116-122
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    • 2008
  • In order to establish automation or optimization of the machining process, predictions of the forces in machining are often needed. A new model fur farces in milling with the experimental model based on the specific cutting pressure and the Oxley's predictive machining theory has been developed and is presented in this paper. The specific cutting pressure is calculated according to the definition of the 3 dimensional cutting forces suggested by Oxley and some preliminary milling experiments. Using the model, the average cutting forces and force variation against cutter rotation in milling can be predicted. Milling experimental tests are conducted to verify the model and the predictive results agree well with the experimental results.

A Strategic Approach for Environmental Conscious Machining (환경친화적 기계가공을 위한 전략적 접근)

  • Hwang, Joon;Chung, Eui-Sik;Liang, Steve Y.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.847-850
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    • 1997
  • This paper presents a strategy to develop the environmentally conscious machining process. To establish the knowledge the analytical and experimental methodology for he prediction of aerosol concentration due to cutting fluid atomization mechanism in machining operation. The established analytical model which is based on atomization theory analyzes the cutting fluid motion and aerosol generation in machining process. The impinging and evaporation experiments were performance to know the particle size ad evaporation rate of cutting fluid. The predictive models can be used as a basis for environmental impact analysis on the shop floor. It can be also facilitate the optimization of cutting fluid usage in achieving a balanced consideration of productivity and environmental consciousness.

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Development of new predictive analysis in the orthogonal metal cutting process by utilization of Oxley's machining theory

  • Abdelkader, Karas;Mohamed, Bouzit;Mustapha, Belarbi;Redha, Mazouzi
    • Steel and Composite Structures
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    • v.19 no.6
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    • pp.1467-1481
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    • 2015
  • This paper presents a contribution to improving an analytical thermo-mechanical modeling of Oxley's machining theory of orthogonal metals cutting, which objective is the prediction of the cutting forces, the average stresses, temperatures and the geometric quantities in primary and secondary shear zones. These parameters will then be injected into the developed model of Karas et al. (2013) to predict temperature distributions at the tool-chip-workpiece interface. The amendment to Oxley's modified model is the reduction of the estimation of time-related variables cutting process such as cutting forces, temperatures in primary and secondary shear zones and geometric variables by the introduction the constitutive equation of Johnson-Cook model. The model-modified validation is performed by comparing some experimental results with the predictions for machining of 0.38% carbon steel.

Prediction of Cutting Forces in High Speed End Milling (고속 엔드밀 가공에서의 절삭력 예측)

  • Jung, Sung-Chan;Kim, Kug Weon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.4 no.4
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    • pp.21-27
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    • 2005
  • Recently researches for high speed machining have been actively performed. Few analytical studies, however, have been published. In this paper, a model of cutting forces is analytically studied to predict cutting characteristics in end mill process, especially considering both feed rate and spindle speed. The developed cutting model is based on Oxley's machining theory, which predicts the cutting forces from input data of workpiece material properties, tool geometry and cutting conditions. Experimental verification has been performed to verify the predictive cutting force model using tool dynamometer. It has been found that the simulation results substantially agree with experimental results.

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Optimization of Cutting Fluids for Environmentally Conscious Machining (환경친화적 기계가공을 위한 절삭유 최적화에 관한 연구)

  • Hwang, Jun;Jung, Eui-Sik;Liang, Steven Y.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.05a
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    • pp.948-951
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    • 2000
  • This paper presents the analytical and experimental methodology for the prediction of aerosol concentration and size distribution due to cutting fluid atomization mechanism in turnining operation. The established analytical model which is based on atomization theory analyzes the cutting fluid motion and aerosol generation in machining process. The impinging and evaporation experiments were performed to know the particle size and evaporation rate of cutting fluid. The predictive models can be used as a basis for environmental impact analysis on the shop floor. It can be also facilitate the optimization of cutting fluid usage in achieving a balanced consideration of productivity and environmental consciousness.

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Atomization Characteristics of Cutting Fluids (절삭유의 미립화 특성)

  • Hwang, Joon;Chung, Eui-Sik;Joung, Jin-Yel;Hwang, Duck-Chul
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.943-946
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    • 2002
  • This paper presents atomization characteristics of cutting fluids. To analyze the behavior characteristics of cutting fluid, analytical approach and experimental measurement were performed to predict the aerosol size, velocity and concentration due to cutting fluid atomization mechanism in machining operation. The established analytical model which is based on atomization theory analyzes the cutting fluid motion and aerosol generation in machining process. The predictive models can be used as a basis for environmental impact analysis on the shop floor. It can be also facilitate the optimization of cutting fluid usage in achieving a balanced consideration of productivity and environmental consciousness.

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