• Title/Summary/Keyword: Product surface quality

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Extraordinary State Discrimination of Grinding Wheel Surface Using Pattern Classification (패턴 분류법을 이용한 연삭 숫돌면의 이상상태 판별)

  • 유은이
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.447-452
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    • 2000
  • The grinding plays a key role which decide the quality of a product finally. But the grinding process is very irregular, so it is very difficult to analyse the process accurately. Therefore it is very important in the aspect of precision and automation to reduce the idle time and to decide the proper dressing time by visualizing. In this study, we choose the direct method of observation by making use of computer vision, and apply pattern classification technique to the method of measuring the wheel surface. Pattern classification technique is proper to analyse complex surface image. We observe the change of the wheel surface by making use of the gray level run lengths which are representative prince in this technique.

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Generation of Discrete $G^1$ Continuous B-spline Ship Hullform Surfaces from Curve Network Using Virtual Iso-parametric Curves

  • Rhim, Joong-Hyun;Cho, Doo-Yeoun;Lee, Kyu-Yeul;Kim, Tae-Wan
    • Journal of Ship and Ocean Technology
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    • v.10 no.2
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    • pp.24-36
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    • 2006
  • Ship hullform is usually designed with a curve network, and smooth hullform surfaces are supposed to be generated by filling in (or interpolating) the curve network with appropriate surface patches. Tensor-product surfaces such as B-spline and $B\'{e}zier$ patches are typical representations to this interpolating problem. However, they have difficulties in representing the surfaces of irregular topological type which are frequently appeared in the fore- and after-body of ship hullform curve network. In this paper, we proposed a method that can automatically generate discrete $G^1$ continuous B-spline surfaces interpolating given curve network of ship hullform. This method consists of three steps. In the first step, given curve network is reorganized to be of two types: boundary curves and reference curves of surface patches. Especially, the boundary curves are specified for their surface patches to be rectangular or triangular topological type that can be represented with tensor-product (or degenerate) B-spline surface patches. In the second step, surface fitting points and cross boundary derivatives are estimated by constructing virtual iso-parametric curves at discrete parameters. In the last step, discrete $G^1$ continuous B-spline surfaces are generated by surface fitting algorithm. Finally, several examples of resulting smooth hullform surfaces generated from the curve network data of actual ship hullform are included to demonstrate the quality of the proposed method.

Optimization of Recipe for Black Sesame Tuile Containing Retrograded Rice Flour using Response Surface Methodology (반응표면 분석법을 이용한 노화쌀가루첨가 흑임자 튀일 레시피의 최적화)

  • Kim, Sun-Hee;Cho, Min-Ju;Chang, Hye-Ja;Kim, Woo-Kyung;Park, Hye-Young
    • Journal of the East Asian Society of Dietary Life
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    • v.22 no.2
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    • pp.255-263
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    • 2012
  • Tuile containing retrograded rice and black sesame was developed by optimization of the mixing rate of retrograded rice and egg white using response surface methodology. Nine samples of design points were obtained according to central composite design, and the optimal mixing rate of retrograded rice flour and egg white as independent variables was calculated with the sensory score, color, and texture as response variables. Nine samples of the experimental group and no added retrograded rice flour Tuile were also compared in terms of sensory properties, color and texture. According to the results, the optimal mixing rate of black sesame Tuile was 8.6 g of retrograded rice and 33.5 g of egg white. Regression analysis of the response showed that retrograded rice flour and egg white had effect on the color and texture of black sesame Tuile, with egg white more influential rather than retrograded rice. In a comparison of quality between retrograded rice flour added Tuile and no retrograded rice flour Tuile, lightness ($p$<0.05), hardness ($p$<0.001) and fracturability ($p$<0.001) of retrograded rice flour added Tuile was better than those of the other sample, and sensory quality in terms of color ($p$<0.01), taste ($p$<0.001), texture ($p$<0.01) were more excellent as well.

A Study on the Performance of Surface UV Printing Device for Power Indicator Production (파워인덕터 생산용 표면 UV 인쇄장치 성능 연구)

  • Hyun-Mu Lee;So-Mi An;Sung-Min Ahn;Jeong-Hwan Seo;Byoung-Jo Jung;Sung-Lin Kang
    • Journal of Advanced Technology Convergence
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    • v.2 no.4
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    • pp.1-6
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    • 2023
  • Research on power inductor surface UV printing equipment using cylindrical magnets can prevent damage to quality consumable materials (making plates, Squeegees) during printing and improve printing quality by applying technology to prevent product from flipping or standing up when fixing the product by making the magnetic formation of cylindrical magnets form up and down. The development of cylindrical magnets that changed the direction of magnetic force will stabilize the fixing method for metal products made by powder compression, increasing the production capacity for small products. Finally, by studying the power inductor surface UV printing device using cylindrical magnets, it can be differentiated from the spray and deeping methods that were being worked on, production will be greatly improved, and as a result, cost reduction and competitive production will be possible.

An optimal tolerancing of the mixture ratio with variance considerations (분산을 고려한 혼합물 배합비의 최적허용차 결정)

  • Kim, Seong-Jun;Park, Jong-In
    • Journal of Korean Society for Quality Management
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    • v.38 no.4
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    • pp.580-586
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    • 2010
  • Performance variations in mixture products such as medicine, food, and chemicals can be caused by their own subcomponents. For instance, a discharge capacity of a lithium-ion battery depends upon the mixture ratio of ethylene, dimethyle, and ethyle-methyle, all of which are subcomponents of an electrolyte solution in the battery. Thus it is crucial to determine tolerances of the mixture ratio in order to maintain the product quality at a desired level. This paper is concerned with the tolerance design of the mixture ratio. In particular, minimizing variance around the mixture ratio is adopted as a decision criterion in this paper. An illustrative example with multiple quality characteristics is given as well.

A Study on the Diode Laser Surface Hardening Treatment of Cast Iron for Die Material(III) - Characteristics of Microstructures in Hardened Zone - (금형재료용 주철의 다이오드 레이저 표면경화처리에 관한 연구(III) - 경화부의 미세조직 특성 -)

  • Kim, Jong-Do;Song, Moo-Keun;Hwang, Hyun-Tae
    • Journal of Advanced Marine Engineering and Technology
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    • v.36 no.1
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    • pp.78-84
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    • 2012
  • Mold may experience deterioration of molding quality as the abrasion of mold occurring due to friction between mold and molded product works as allowance in the course of press process. Therefore, to improve the wear-resistance of mold, methods like nitriding, carburizing, flame and induction surface hardening treatment etc have been applied. However, as such methods are accompanied by problems like shape limitation or product deformation etc, laser surface treatment technology is under review as surface treatment method that can solve such problems. Therefore, in this study, mold material cast iron was surface-treated by using high power diode laser. In previous report 1 and report 2, the heat treatment characteristics were compared by the differences of die materials and shapes, then this paper observed microstructure by using optical microscope and scanning electronic microscope to analyze the structural difference of hardened zone, interface area and base metal after heat treatment. And the structural condition was grasped through EDS. As a result of microstructure, hardened zone showed formation of acicular martensite.

Influence of Selective Oxidation Phenomena in CGLs on Galvanized Coating Defects Formation

  • Gong, Y.F.;Birosca, S.;Kim, Han S.;De Cooman, B.C.
    • Corrosion Science and Technology
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    • v.7 no.1
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    • pp.1-5
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    • 2008
  • The gas atmosphere in continuous annealing and galvanizing lines alters both composition and microstructure of the surface and sub-surface of sheet steel. The formation and morphology of the oxides of alloying elements in High Strength Interstitial Free (HS-IF), Dual Phase (DP) and Transformation-Induced Plasticity (TRIP) steels are strongly influenced by the furnace dew point, and the presence of specific oxide may result in surface defects and bare areas on galvanized sheet products. The present contribution reviews the progress made recently in understanding the selective formation of surface and subsurface oxides during annealing in hot dip galvanizing and conventional continuous annealing lines. It is believed that the surface and sub-surface composition and microstructure have a pronounced influence on galvanized sheet product surface quality. In the present study, it is shown that the understanding of the relevant phenomena requires a combination of precise laboratory-scale simulations of the relevant technological processes and the use of advanced surface analytical tools.

Development of Superfinishing Machine to Polish the Inner Surfaces of Aircraft Hydraulic Oil Reservoirs (항공기 유압유 저장조 내면연마를 위한 슈퍼피니싱 장치 개발에 관한 연구)

  • Choi, Su Hyun;Kong, Kwang Ju;Cho, Young Tae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.8
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    • pp.110-116
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    • 2020
  • Aircraft hydraulic oil reservoirs made with aluminum 7075 have an anodized coating to enable airtightness and corrosion resistance. To maintain a stable oil pressure, the internal surface roughness of the reservoir should be less than approximately 0.2 ㎛. To this end, precision polishing must be performed. However, ensuring the processing quality is challenging, as most polishing operations are performed manually, owing to which, the inner surface roughness is not uniform, and the product quality is irregular. Therefore, we developed a special superfinishing machine to realize the efficient inner polishing of an aircraft hydraulic oil reservoir, by using an abrasive film to improve the process throughput and uniformity. In the experiment involving the superfinishing of an anodized aluminum 7075 cylinder specimen by using the proposed machine, a higher surface roughness than that achieved in the repetitive manual polishing process could be realized.

Optimized Recipe for Cookies with Dried Danggue Powder Determined by Response Surface Methodology (당귀분말을 첨가한 냉동쿠키 제조 조건의 최적화)

  • Joo, Na-Mi;Lee, Sun-Mee;Jeong, Hee-Sun
    • Journal of the East Asian Society of Dietary Life
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    • v.19 no.3
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    • pp.421-429
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    • 2009
  • This study was conducted to develop a recipe for a nutritional cookie containing Danggue powder, and to achieve an optimal ingredient composition and texture that would appeal to consumers of all ages. To reduce its content, wheat flour was partially substituted with Danggue in the formulation. Response surface methodology was used to analyze the measured results and showed 16 experimental points, including 2 replicates for the Danggue powder, brown sugar, and butter ingredients. The compositional and functional properties were measured, and these values were applied to a mathematical model. A canonical form and perturbation plot showed the influence of each ingredient on the final product. The sensory evaluation results indicated significant differences between samples for color (p<0.01), flavor (p<0.01), texture (p<0.05), and overall quality (p<0.05). As a result, the optimal ingredient levels for sensory quality were determined as 4.83 g of Danggue powder, 70.46 g of brown sugar, and 86.08 g of butter.

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An Experimental Study on Mathematical Model to Predict Bead Width in GMA Weldment (GMA 용접부의 비드폭 예측을 위한 수학적 모델에 관한 실험적 연구)

  • Kim, Ill Soo;Park, Min Ho;Kim, Hak Hyoung;Lee, Jong Pyo;Park, Cheol Kyun;Shim, Ji Yeon
    • Journal of the Korean Society for Precision Engineering
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    • v.32 no.2
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    • pp.209-217
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    • 2015
  • Generally welding is one of the most important processes to have a strong influence on the quality and productivity from a manufacture-based industry such as shipbuilding, automotive and machinery. The GMA(Gas Metal Arc) welding process involves large number of interdependent welding parameters which may affect product quality, productivity and cost effectiveness. To solve such problems, mathematical models are required to select the welding parameters for GMA welding process. In this study, the GMA welding process was studied using the information generated during the welding. The statistical analysis of a generalized regression approach was conducted by the following three methods: Firstly using the mathematical model (linear regression, 2nd regression); Secondly GA(Genetic Algorithm) with intelligent models; And finally using response surface analysis of models to develop the relationships between welding parameters and bead width as welding quality.