• Title/Summary/Keyword: grinding optimization process

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Off-line Multicritera Optimization of Creep Feed Ceramic Grinding Process

  • Chen Ming-Kuen
    • Proceedings of the Korean Society for Quality Management Conference
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    • 1998.11a
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    • pp.680-695
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    • 1998
  • The objective of this study is to optimize the responses of the creep feed ceramic grinding process simultaneously by an off-1ine multicriteria optimization methodology. The responses considered as objectives are material removal rate, flexural strength, normal grinding force, workpiece surface roughness and grinder power. Alumina material was ground by the creep feed grinding mode using superabrasive grinding wheels. The process variables optimized for the above objectives include grinding wheel specification, such as bond type, mesh size, and grit concentration, and grinding process parameters, such as depth of cut and feed rate. A weighting method transforms the multi-objective problem into a single-objective programming format and then, by parametric variation of weights, the set of non-dominated optimum solutions are obtained. Finally, the multi-objective optimization methodology was tested by a sensitivity analysis to check the stability of the model.

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Analysis and Optimization of Grinding Condition by Response Surface Model (반응표면모델(RSM)에 의한 평면연삭조건 최적화 및 평가)

  • Kim S.O.;Kwak J.S.;Koo Y.;Sim S.B.;Jeong Y.D.;Ha M.K.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1257-1260
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    • 2005
  • Grinding process has unique characteristics compared with other machining processes. The cutting edges of the grinding wheel don't have uniformity and act differently on the workpiece at each grinding. The response surface analysis is one of various methods for optimizing and evaluating the process parameters to achieve the desired output. In this study, the effect of the grinding parameters on outcomes of the surface grinding was analyzed experimently. To predict the grinding outcomes and to select the grinding conditions before grinding, the second-order response surface models for the grinding force and the surface roughness were developed.

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Design of the Optimal Grinding Process Conditions Using Artificial Intelligent Algorithm (인공지능 알고리즘을 이용한 최적 연삭 공정 설계)

  • Choi, Jeong-Ju
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.18 no.6
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    • pp.590-597
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    • 2009
  • The final quality of the workpiece is affected by the grinding process that has been conducted in final manufacturing stage. However the quality-satisfaction of ground workpiece depends on the skill of an expert in this process. Therefore, the process models of grinding have been developed to predict the states according to grinding process. In this paper, in order to find the optimized grinding condition to reduce the manufacturing expense and to meet requirements of ground workpiece optimization algorithm using E.S.(Evolutionary Strategy) is proposed. The proposed algorithm has been employed to find the optimal grinding and dressing condition using the grinding process models and nonlinear grinding constraints. The optimized results also presents the guide line of grinding process. The effectiveness of the proposed algorithm is verified through the experimental results.

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GRINDING OPTIMIZATION MODEL FOR NANOMETRIC SURFACE ROUGHNESS FOR ASPHERIC ASTRONOMICAL OPTICAL SURFACES (천체망원경용 비구면 반사경 표면조도 향상을 위한 최적연삭변수 수치결정모델)

  • Han, Jeong-Yeol;Kim, Sug-Whan;Kim, Geon-Hee;Han, In-Woo;Yang, Sun-Choel
    • Journal of Astronomy and Space Sciences
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    • v.22 no.1
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    • pp.13-20
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    • 2005
  • Bound abrasive grinding is used for the initial fabrication phase of the precision aspheric mirrors for both space and ground based astronomical telescopes. We developed a new grinding optimization process that determines the input grinding variables for the target surface roughness, checks the grinding error magnitude in resulting surface roughnesses, and minimizes the required machining time. Using the machining data collected from the previous grinding runs and subsequently fed into the multivariable regression engine, the process has the evolving controllability that suggests the optimum set of grinding variables for each target surface roughness. The process model was then used for ten grinding experiments that resulted in the grinding accuracy of $=-0.906{\pm}3.38(\sigma)\;nm(Ra)$ for the target surface roughnesses of Zerodur substrate ranging from 96.1 nm (Ra) to 65.0 nm (Ra) The results imply that the quantitative process optimization technique developed in this study minimizes the machining time and offers the nanometric surface roughness controllability superior to the traditional, qualitative, craftsman based grinding process for the astronomical optical surfaces.

Analysis and Optimization of Geometric Error in Surface Grinding using Taguchi Method (다구찌기법에 의한 연삭가공물의 형상오차 분석 및 최적화)

  • Chi, Long-Zhu;Hwang, Yung-Mo;Yoon, Moon-Chul;Ryoo, In-Il;Ha, Man-Kyung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.3 no.4
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    • pp.13-19
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    • 2004
  • This paper deals with the analysis of geometric error and the optimization of process parameters in surface grinding. Taguchi method which is one of the design of experiments has been introduced in achieving the aims. The process parameters were the grain size, the wheel speed, the depth of cut and the table speed. The effect of the process parameters on the geometric error was examined and an optimal set of the parameters was selected to minimize the geometric error within the controllable range of the used grinding machine. The reliability of the results was evaluated by the ANOVA.

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Structural Optimization and Performance Evaluation of Ultra Precision Co-axial Ferrule Grinding Machining System (초미세 고기능 동축가공 연삭 시스템의 구조 최적화 및 특성 평가)

  • Ahn K.J.;Lee H.J.;Kim G.J.;Kim G.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.559-560
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    • 2006
  • Fiber optic connector, ferrule, is a device to connect and align fiber optics cable on fiber-optic communication system. In general $ZrO_2$ ceramic ferrule is manufactured by grinding process because the demands precision is very high. For the precision grinding machining, it is very important that structure of co-axial ferrule grinding system is optimized. In this paper, Structural analysis was performed to analyze bed and frame structure of co-axial grinding machine. Deformation and modal analysis for natural frequency was performed using ANSYS design space program to analyze structural characteristics. New improved model of bed and frame structure was proposed based on initial basic model. Therefore, we estimated the structural characteristics precision co-axial grinding machining system.

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A Study on the Process Optimization of Brush Deburring Grinding System (브러시 디버링 연삭 시스템 공정 최적화에 대한 연구)

  • Shin, Kwan-Soo
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.21 no.3
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    • pp.394-400
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    • 2012
  • Due to the increasing demand for carious methodologies, the quality improvement of products were introduced. A brush, the most frequently used type of grinding process, is one of the deburring. In order to produce consistent burr shape, various machining conditions have been combined and applied to disk grinding process. By tool dynamometer, acoustic emission sensor and acceleration sensor depend on changes in processing conditions(depth of engagement, cutting speed, workpiece position, workpiece orientation, cutting time) signals were obtained for brush deburring grinding system. Root mean square obtained by processing the signal processing conditions by analyzing the characteristics of deburring is to derive the optimum conditions.

Study on the Design of Optimal Grinding Control System Using LabView (LabView를 이용한 최적 연삭 제어시스템 설계에 관한 연구)

  • Choi, Jeongju
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.1
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    • pp.7-12
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    • 2013
  • This paper proposed the optimal algorithm of grinding system and the method to realize it. The optimal function was proposed in order to design the optimal grinding process. DE(Differential Evolution) algorithm was used to obtain the selective optimal function. The realization of algorithm was implemented by LabView software used widely at industrial field and the proposed algorithm was verified for through computer simulation. The result of the proposed algorithm can be used for the guide line of the grinding process.

A Study on the Optimization of Grinding Energy Density for a Non-linear Grinding System with Dual Time Delay (이중 시간지연을 가지는 비선형 연삭기의 가공 에너지 밀도 최적화 연구)

  • Jung, Jeehyun;Kim, Pilkee;Lee, Jung-In;Lee, Sooyoung;Lee, Jong-Hang;Kim, Kyung-Dong;Seok, Jongwon
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.5
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    • pp.493-498
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    • 2013
  • The present study treats the optimization process for a non-linear grinding system with dual time delay, mainly from the energetic viewpoint. To this end, the stability of the grinding system is investigated first with regard to the grinding wheel rotation speed. The concept of grinding energy density is newly proposed as the primary figure of merit and this quantity is evaluated at various stable and limit cycle conditions. The computational results show that simple monotonic trend in energy density is observed under stable conditions, whilst rather complicated behaviors can appear when the conditions are associated with limit cycle oscillations. Finally, the relations between the vibration amplitude and the energy density and their implications on the engineering decision/compromise are discussed.

Geometric error Prediction and Grinding Condition Optimization using Taguchi Methods (Taguchi 기법을 이용한 형상오차 예측 및 최적조건 선정)

  • Chi Long-Zhu;Lee Sang-Jin;Kwak Jea-Seob;Ha Man-Kyung;Jun Jae-Uhk
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1583-1586
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    • 2005
  • Grinding process is different from other machining processes such as turning, milling and drilling because the cutting edges in a grinding wheel doesn't have uniformity and acts differently on the workpiece at each grinding. This study focus on predicting the geometric error produced during surface grinding and selecting an optimal grinding condition to reduce the geometric error. To achieve the aim, the Taguchi design of experiments was applied and the S/N ratios of each grinding was used for evaluating the results. The predicted quantities by the S/N ratios were compared with the experimental results.

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