Optimization of the Polishing Parameters for the Glass Substrate of STN-LCD

Lien, Chi-Hsiang; Guu, Y. H.

doi:10.1080/10426910802384839

Cited by 17 publications

(4 citation statements)

References 12 publications

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“…12 Certain studies have been conducted using the Taguchi parameter design for the optimization of surface roughness in machining operations, but those studies did not take into account the fact that optimal machining conditions can be achieved by more than one combination of the process parameters. 13 To overcome this problem, GRA can be effectively applied, since the Grey theory can provide a solution to a system, in which the model is unsure or the information is incomplete. It also provides an efficient solution to the uncertainty, multiinput, and discrete data problem.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the red mud–aluminum composite in the turning process by the Grey relational analysis with entropy

Rajesh

Rajakarunakaran

Sudhkarapandian³

2013

Journal of Composite Materials

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This paper presents the findings of an experimental investigation on the effects of cutting speed, feed rate, depth of cut, and nose radius in the CNC turning operation performed on red mud-based aluminum metal matrix composites. The surface roughness, flank wear, and power consumption are considered as the output quality characteristics. The Taguchi-based Grey relational analysis with entropy method has been used to accomplish the objective of the experimental study. The entropy method is applied to evaluate the weighting values corresponding to various performance characteristics. The L9 orthogonal array design has been used for conducting the experiments. The Grey relational analysis with entropy reveals that the optimal combination of the machining parameters for the multi-performance characteristics of the red mud-based aluminum is the set of cutting speed of 275 m/min, feed 0.2 mm/rev, depth of cut 0.5 mm, and nose radius 0.4 mm. The optimal results were compared with the experimental results for verifying the approach, and it is observed that the surface roughness decreases from 2.56 to 2.27 µm, tool wear decreases from 0.3 to 0.28 mm, and power consumption decreases from 721 to 715 W.

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Section: Introductionmentioning

confidence: 99%

Optimization of the red mud–aluminum composite in the turning process by the Grey relational analysis with entropy

Rajesh

Rajakarunakaran

Sudhkarapandian³

2013

Journal of Composite Materials

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“…According to equation (12), if the distributions of the pressure and the relative sliding velocity in the contact area are known, the removal depth along the x-axis can be calculated.…”

Section: Materials Removal Indexmentioning

confidence: 99%

“…In this case, v a is constant in the contact region and dl ¼ dy. Thus, equation (12) can be further modified as where a 0 is half the length of L 1 L 2 , which gives…”

Section: Polishing Along a Straight Pathmentioning

confidence: 99%

“…A polishing process is defined as deterministic if the material removal behavior is predictable whenever the polishing parameters are set to fixed values. 6 During the past decades, much research has been performed on the deterministic polishing, mainly focused on design of polishing machine tool, 7,8 planning of the tool path, 9,10 strategy of polishing force control, 11 reduction of surface roughness, 12,13 etc. The deterministic polishing is regarded as an error compensation method by Hung et al 14 and Fan et al 15 to correct the surface form error.…”

Section: Introductionmentioning

confidence: 99%

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Local material removal model considering the tool posture in deterministic polishing

Cheng

Zhao

Zhang

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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Polishing process is the final step for the fabrication of optical surfaces. This paper presents a theoretical and experimental investigation on the removal of material from a surface during the polishing process. The model in this paper assumes that the material removal rate follows Preston equation and the pressure distribution at the contact area is Hertzian. Particularly, the effect of the tool posture, which is described by the inclination angle and declination angle, upon the local material removal profile is modeled and analyzed. On the basis of the analysis, a novel method is proposed to optimize the tool angles. A series of polishing experiments were conducted to verify the effectiveness of the proposed model. The theoretical and experimental results indicate that (1) the inclination angle has large effect on the local removal depth, and (2) the location of the maximum removal depth bias away from the center of the profile and the direction of this bias is determined by the declination angle. The model in this paper is potentially useful for the planning of the polishing posture and the tool path during the polishing process.

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