• Title/Summary/Keyword: manufacturing conditions

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The Correlation between Manufacturing Parameters and friction Characteristics of Automotive Friction Materials by Taguchi Robust Experimental Design (다구찌 로버스트 실험계획법에 의한 자동차용 마찰재의 성형조건과 마찰특성과의 상관관계에 환한 연구)

  • Kim, Kwang-Seok;Jang, Ho
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1999.11a
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    • pp.225-232
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    • 1999
  • The effect of manufacturing parameters such as molding and curing conditions on friction characteristics of friction materials was studied using a pad-on-disk type friction tester. Friction materials containing 15 ingredients were investigated for an optimal manufacturing condition for the best friction characteristics employing Taguchi robust experimental design. The main effects were different for mechanical properties and friction characteristics and were strongly influenced by manufacturing conditions. An optimum manufacturing condition was obtained to achieve the best friction characteristics concerning mechanical properties(hardness, porosity, wear resistance), friction stability, and change of rotor temperature.

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Experimental Study on the Optimized Lubrication Conditions in MQL Turning of Workpieces with Taper Angle (테이퍼 각을 가진 소재의 MQL 선삭가공에서 최적 윤활 조건에 관한 실험적 연구)

  • Kim, Dong-Hyeon;Kang, Dong-Wi;Cha, Na-Hyeon;Lee, Choon-Man
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.12 no.1
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    • pp.63-69
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    • 2013
  • Many researchers are trying to reduce the use of lubrication fluids in metal cutting to obtain safety, environmental and economical benefits. The aim of this study is to determine the optimization lubrication conditions in minimum quantity lubrication(MQL) turning of workpieces with taper angle. This study has been considered about various conditions of MQL. The objective functions are cutting force and surface roughness. Design factors are nozzle diameter, nozzle angle, MQL supply pressure, distance between tool and nozzle and length of supply line. The cutting force and surface roughness were statistically analyzed by the use of the Box-Behnken method. As a results, optimum lubrication conditions were suggested and verification experiment has been performed. The results of this study are expected to help the selection of lubrication conditions in MQL turning.

Development of Machine Learning Method for Selection of Machining Conditions in Machining of 3D Printed Composite Material (3D 프린팅 복합소재의 가공에서 가공 조건 선정을 위한 머신러닝 개발에 관한 연구)

  • Kim, Min-Jae;Kim, Dong-Hyeon;Lee, Choon-Man
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.2
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    • pp.137-143
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    • 2022
  • Composite materials, being light-weight and of high mechanical strength, are increasingly used in various industries such as the aerospace, automobile, sporting-goods manufacturing, and ship-building industries. Recently, manufacturing of composite materials using 3D printers has increased. 3D-printed composite materials are made in free-form and adapted for end-use by adjusting the fiber content and orientation. However, research on the machining of 3D printed composite materials is limited. The aim of this study is to develop a machine learning method to select machining conditions for machining of 3D-printed composite materials. The composite material was composed of Onyx and carbon fibers and stacked sequentially. The experiments were performed using the following machining conditions: spindle speed, feed rate, depth of cut, and machining direction. Cutting forces of the different machining conditions were measured by milling the composite materials. PCA, a method of machine learning, was developed to select the machining conditions and will be used in subsequent experiments under various machining conditions.

Effect of TRI on UTAUT in Transformation to Smart Factory: Focusing on Small and Medium-sized Manufacturing Companies (스마트 팩토리로의 전환에 있어서 기술준비도가 통합기술수용요인에 미치는 영향: 중소 제조 기업을 중심으로)

  • Lee, Yong-Gyu
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.3
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    • pp.1-17
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    • 2022
  • The purpose of this study is to suggest a plan to improve the level of acceptance of related technologies and the transition to smart factories of small and medium-sized manufacturing enterprises by using 'technology readiness' and 'integrated technology acceptance model'. To this end, the research hypothesis was verified by collecting questionnaire data from 130 small and medium-sized manufacturing companies in Korea and conducting path analysis. First, optimism affects performance expectations, social influence, and facilitation conditions, innovation affects performance expectations, effort expectations, and social influence, discomfort affects performance expectations, social influence, and facilitation conditions, and anxiety affects effort expectations, social influence and facilitation conditions. has been proven to affect Finally, performance expectations, effort expectations, social influence, and facilitation conditions were verified to have a significant positive effect on the intention to accept technology.

Effect of Manufacturing Process Conditions on Characteristics of Metal Particle Tape (초미립 Metal Tape의 제특성에 미치는 제조공정의 영향)

  • 김주호;김기호
    • Journal of the Korean Magnetics Society
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    • v.6 no.1
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    • pp.21-27
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    • 1996
  • The effects of various manufacturing conditions on the characteristics of metal particle tape using ultra-fine metal powder were investigated. As functions of kneading conditions and milling solid contents. coating thickness, orientation, calender and curing conditions. various properties of the tapes were studied. By the consideration of physical and eletromagnetic properties of the tapes, optimum process conditions were determined. As a result of above investigations, we concluded that manufacturing processes were very important factor in addition to dispersion behavior of particles for achieving maximum properties of the metal particle tape.

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Selection of Optimal Processing Conditions for Quartz Using the Taguchi Method (다구찌법을 이용한 석영의 최적 가공조건 선정에 관한 연구)

  • Jeong, Ho-In;Choi, Seong-Jun;Lee, Choon-Man
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.2
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    • pp.123-129
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    • 2022
  • Quartz (SiO2) has high abrasion and heat resistances and excellent chemical and mechanical properties; therefore, it is used in various industries, such as machinery, chemistry, optics, and medicine. Quartz is a high-hardness and brittle material and is classified as the topmost difficult-to-cut material, which is because of the cracking or chipping at the edge during processing. Corner wear, such as cracks and chippings that occur during cutting, is a major cause for the deterioration in the machining quality. Therefore, many researchers are investigating various techniques to process quartz effectively. However, owing to the mechanical properties of quartz, most studies have been conducted on grinding, micromachining, and microdrilling. Few studies have been conducted on quartz processing. The purpose of this study was to analyze the machining characteristics according to the machining factors during the slot machining of quartz using a cubic boron nitride (CBN) tool and to select the optimal machining conditions using the Taguchi method. The machining experiment was performed considering three process variables: the spindle speed, feed rate, and depth of cut. The cutting force and surface roughness were analyzed according to the processing conditions.

The Surface Roughness of Injection Product according to the change of Injection Conditions (성형조건에 따른 성형품의 표면 거칠기 변화)

  • Park, Joon-Hyoung;Kim, Kuy-Bok;Yoon, Se-Kwon;Lee, Hyeon-Woo;Kim, Sun-Kyung
    • Design & Manufacturing
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    • v.8 no.2
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    • pp.12-17
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    • 2014
  • Currently, injection molding process is a very useful technique that be applied to many field. And injection molding technology has been commercial based on many studies. However, there is no standard of surface roughness because there are few studies about surface technology of injection product. In addition, when designing the mold, changes of the core surface and the injection conditions are not considered. In this paper, change of surface according to the core and the injection conditions was compared with the surface of the injection product. Accumulation of these technologies will propose direction in mold design, manufacturing and injection molding technology.

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Determining Appropriate Production Conditions in Cellular Manufacturing Systems (셀생산(生産)의 효율적(效率的)인 운용(運用)을 위한 시뮤레이션 연구(硏究))

  • Song, Sang-Jae;Choi, Jung-Hee
    • Journal of Korean Institute of Industrial Engineers
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    • v.19 no.2
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    • pp.23-34
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    • 1993
  • Although there are numerous studies that address the problem of optimal machine grouping and part family classification for cellular manufacturing, little research has been reported that studies the conditions where cellular manufacturing is appropriate. This paper, in order to evaluate and compare the job shop with the GT cellular shop, the performance of those shops were simulated by using SIMAN. We tested the effect of independent variables including changes of product demands, intercell flow level, group setup time, processing time variability, variety of material handling systems, and job properties (ratio of processing time and material handling time). And also performance measures (dependent variables), such as machine utilization, mean flow time, average waiting time, and throughput rate, are discussed. Job shop model and GT cellular shop written in SIMAN simulation language were used in this study. These systems have sixteen machines which are aggregated as five machine stations using the macro feature of SIMAN. The results of this research help to better understand the effect of production factors on the performance of cellular manufacturing systems and to identify some of the necessary conditions required to make these systems perform better than traditional job shops. Therefore, this research represents one more step towards the characterization of shops which may benefit from cellular manufacturing.

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Safety Engineering Technique By Industry on Small & Medium Industry (중소기업의 업종별 안전공학 기술)

  • Kim, Dae-Sig
    • Journal of Industrial Convergence
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    • v.2 no.2
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    • pp.31-46
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    • 2004
  • The ratio of industrial injury in Korea is higher 2~4 times than advanced nations like Japan and Singapore, because the industrial injuries in small-medium industry are higher than large size industry. The investment ability is insufficient for working conditions and prevention of the industrial injuries in the small & medium industry. The industrial safety management of machinery manufacturing for transportation, chemical factory, textile product manufacturing, wire & circuit products for computer, plastic goods manufacturing, and metal products manufacturing was investigated. Therefore, the purpose of the paper is to recognize the seriousness of the industrial injuries, understand product, layout, and machinery, and working conditions, etc., and indicate safety engineering techniques for improvement of quality and productivity under this safety working conditions.

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Optimization Analysis of Flexible Cellular Manufacturing: Route Selection and Determining the Optimal Production Conditions for Ordered Products (유연한 셀생산을 위한 최적가공경로와 생산조건의 결정)

  • Song, Sang-Jae;Choi, Jung-Hee
    • Journal of Korean Institute of Industrial Engineers
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    • v.18 no.1
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    • pp.47-62
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    • 1992
  • This paper describes a procedure for optimizing the route selection and production conditions in alternate process plans under a cellular manufacturing environment. The type of production is mainly production-to-order which deals with unexpected products as the changes factor. The flexible cellular manufacturing can be viewed as a complete unification of both flexible manufacturing process and flexible production management. The integrated problem for designing flexible cellular manufacturing associated with determining the optimal values of the machining speeds, overtime, and intercell flow is formulated as Nonlinear Mixed Integer Programming(NMIP) in order to minimize total production change cost. This is achieved by introducing the marginal cost analysis into the NMIP, which will compute the optimal machining speed, overtime, intercell flow, and routing. The application of this procedure offers greater flexibility to take advantage of the cellular manufacturing due to the optimum use of resources. A solution procedure for this problem was developed and a numerical example is included.

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