• Title/Summary/Keyword: grinding burn

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Development of CNC Creep-Feed Grinding Machine and Determination of Dressing Conditions using Continuous Dressing (연속드레싱을 이용한 CNC Creep-Feed 연삭기의 개발 및 드레싱조건의 결정)

  • Lee, Young-Wook;Kim, Jong-Kwan;Jung, Yoon-Gyo
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.6
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    • pp.51-57
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    • 2007
  • Creep-feed grinding is an effective technology processes to increase the productivity and efficiency in form grinding. This method has, however, some problems which the progress of abrasive wear around the cutting edge is remarkable, grinding force become intense and burn marks on the ground surface occur frequently. In order to solve this problems, it is proposed in this study to dress the grinding wheel continuously during the grinding process. The purpose of this research is. therefore, that CNC creep-feed grinding machine which has a continuous dressing device developed and some grinding experiments for determination of dressing conditions carried out.

Architecture and Implementation of Database on the Cylindrical Grinding Utilizing the Fuzzy Regression Model (퍼지 회귀모델을 이용한 연삭가공용 데이타 베이스의 설계와 활용(실가공 데이타베이스에 관하여))

  • Kim, Gun-hoi;Inasaki, Ichiro;Lee, Jae-kyung;Song, Ji-bok
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.1
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    • pp.219-229
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    • 1994
  • This paper describes an expert system on the cylindrical grinding operations in order to establish the optimum grinding conditions, which satisfy the maximum removal rates, considering the several constraints of grinding power, workpiece burn, chatter vibration and surface roughness. Specialized knowledge of the grinding operations are acquired from the actual operation database. Coefficientis in the experimental equations are obtaines through the fuzzy regression model based on the fuzzy set theory, and are stored in the actual operation database. The developed system is capable of determining the optimum grinding conditions taking into account some problems, and practical examples of implementaion are described.

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A Study on the Cooling Effects of Mist in the Grinding (연삭 가공시 Mist의 냉각효과에 관한 연구)

  • 이석우;최헌종;김대중
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.918-921
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    • 2001
  • In grinding process, the heat of $1200^{\circ}$~$1500^{\circ}$ on the grinding area between grinding wheel and workpiece is generated. It decreases the surface integrity of workpiece and causes the thermal damages such as the deformed layer, residual stress and grinding burn. Generally coolant is widely used for preventing the heat generation on the grinding area, but it deteriorates the working condition by polluting the atmosphere of workplace and in the end pollutes the environment. The grinding methods using the compressed cold air and mist are the cooling methods to substitute conventional coolant. They can decrease the environmental pollution through not using coolant any more or minimizing it. In this study, the cooling effects of grinding methods using the compressed cold air and mist have been investigated. The grinding system equipped with the water bathe and mist spray nozzle was developed. The energy partition to workpiece through measuring the temperature on the workpiece surface was calculated. The surface integrity of workpiece and thermal damage like the deformed layer were analyzed.

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A study on the exit stage quality prediction of flexible disk process using neural network (신경망을 이용한 유연디스크 가공 종단부 품질예측에 관한 연구)

  • Yoo, Song-Min
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.19 no.6
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    • pp.760-767
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    • 2010
  • Even though a flexible disk grinding process was often applied to enhance the product quality, it produced non-flat zone in the beginning and the exit (end) area. Since latter area is susceptible to poor product quality with burn mark, careful analysis is required to cope with such degradation. The flexible disk grinding exit stage was analyzed for workpiece length, wheel speed, depth of cut and feed. The exit stage qualities defined as exit stage ratio and exit stage angle or slope was characterized. A neural network application results reveled that exit stage characteristics was predicted more accurately without workpiece dimension with minimum error of 1.3%.