• Title/Summary/Keyword: RP machine

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Development of the Freeform Master I - a desktop RP machine based on a new sheet lamination process (정전기 방식을 이용한 박판 적층형 쾌속조형기술에 관한 연구)

  • 박정욱;이관행
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.05a
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    • pp.767-770
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    • 2000
  • A novel process is newly developed for building RP(Rapid Prototyping) parts using a sheet lamination technique. The build process of existing sheet lamination type RP machines consists of the following steps : feeding, lamination and cutting. In this process, the laminated part of an object is often scratched by a cutter or damaged by a laser beam due to the cutting operation preceded by lamination, In addition, decubing of the unused portion from the laminated block is difficult. In the new process, cutting operation is performed before lamination. The cutting operation takes place while a paper sheet is firmly attached on the plate using electrostatic force. Then liquid glue is applied to the calculated region of the given contour for lamination. The process aims to manufacture a $2k RP machine, what we call the Freeform Mater I, that can use A4 or latter-size used papers. A prototype machine that demonstrates the design concept is built and further research issues are discussed.

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Development of an Expert System for Rapid Prototyping Machine Selection (쾌속조형장비 선정을 위한 전문가시스템 개발)

  • 정일용;이일랑;최병욱
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.632-635
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    • 2002
  • There are more than five dozen different RP(rapid prototyping) systems in the world and they are fairly expensive. All those systems have different capabilities and requirements in that each of them gives different tolerance, application field and part strength, etc. This situation may cause a problem of selecting an appropriate RP system. This paper presents an expert system, utilizing an algorithm that is composed up of rules to derive recommendations and answers to queries of the RP users. The expert system incorporates RP machines commercially available and adopts multi-selection criteria, namely, machine price, accuracy, build size, adopted process, etc. In the expert system, forward reasoning method is adopted and external spreadsheet for sub-data of the RP systems is used. The rules and knowledge are obtained from interviews and discussions with RP vendors and users, appropriate research publications and other reference materials.

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A Study on the Rapid Prototyping using Automatic Design Program (자동설계 프로그램을 이용한 급속성형에 관한 연구)

  • 이승수;김민주;전언찬
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.11 no.5
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    • pp.15-22
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    • 2002
  • A study is the selection of optimum forming condition for RP system. We develop the Automatic design program for machine element using visual LISP program in AutoCAD. Automatic design program reduces the required time for feedback between design and manufacturing of workpiece. Also we investigate the relationship between circularity of 3D solid model and circularity of rapid prototype using RP system and we will find optimum forming condition in RP system.

Benchmark Study of Rapid Prototyping Processes and the Development of Decision-support System to Select Appropriate RP Process and Machine (쾌속조형 공정 비교실험 및 공정 선정에 관한 연구)

  • Yi Il Lang;Chung Il Yong;Choi Byung Wook;Keum Young Tag
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.11 s.176
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    • pp.202-209
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    • 2005
  • In this paper, benchmark tests of Rapid Prototyping(RP) are presented to evaluate characteristics of various RP Systems and Processes, and several decision-support systems are developed to select RP Machine/Process suitable to user's requirements. Results of the RP benchmark tests are applied to the recently developed RP machines for the purpose of analyzing attributes such as dimensional accuracy, surface roughness, build cost, build time, and etc. Decision-making support systems are also developed, which contain not only new LCE (Linear Confidence Equation) algorithm but also modified PRES and MDS algorithm. Those algorithms are proved to be effective in that reasonably acceptable results are obtained on several cases of different inputs.

Pattern Classification of Retinitis Pigmentosa Data for Prediction of Prognosis (망막색소변성 데이터의 예후 예측을 위한 패턴 분류)

  • Kim, Hyun-Mi;Woo, Yong-Tae;Jung, Sung-Hwan
    • Journal of Korea Multimedia Society
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    • v.15 no.6
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    • pp.701-710
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    • 2012
  • Retinitis Pigmentosa(RP) is a common hereditary disease. While they have been normally living, those who have this symptom feel frustration and pain by the damage of visual acuity. At the national level, the loss of the economic activity due to the reduction of economically active population will be also greater. There is an urgent need for the base study that can provide the clinical prognosis information of RP disease. In this study, we suggest that it is possible to predict prognosis through the pattern classification of RP data. Statistical processing results through statistical software like SPSS(Statistical Package for the Social Service) were mainly applied for the conventional study in data analysis. However, machine learning and automatic pattern classification was applied to this study. SVM(Support Vector Machine) and other various pattern classifiers were used for it. The proposed method confirmed the possibility of prognostic prediction based on the result of automatically classified RP data by SVM classifier.

A decision making framework model for the selection of a RP using hybrid multiple attribute decision making techniques (3차원 조형장비 선정을 위한 복합 다요소 의사결정 구조 모델 개발에 관한 연구)

  • Byun, Hong-Seok
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.7 no.3
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    • pp.87-95
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    • 2008
  • The purpose of this study is to provide a decision support to select an appropriate rapid prototyping(RP) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model for molding, material property, build time and part cost that greatly affect the performance of RP machines. However, the selection of a RP is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate RP machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify RP machines that the users consider. After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of RP machines.

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Recurrence plot entropy for machine defect severity assessment

  • Yan, Ruqiang;Qian, Yuning;Huang, Zhoudi;Gao, Robert X.
    • Smart Structures and Systems
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    • v.11 no.3
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    • pp.299-314
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    • 2013
  • This paper presents a nonlinear time series analysis technique for evaluating machine defect severity, based on the Recurrence Plot (RP) entropy. The RP entropy is calculated from the probability distribution of the diagonal line length in the recurrence plot, which graphically depicts a system's dynamics and provides a global picture of the autocorrelation in a time series over all available time-scales. Results of experimental studies conducted on a spindle-bearing test bed have demonstrated that, as the working condition of the bearing deteriorates due to the initiation and/or progression of structural damages, the frequency information contained in the vibration signal becomes increasingly complex, leading to the increase of the RP entropy. As a result, RP entropy can serve as an effective indicator for defect severity assessment of rolling bearings.

A Study on the Rapid Prototyping using Automatic Design Program (자동설계 프로그램을 이용한 급속성형에 관한 연구)

  • 김세민;이승수;김민주;주만식;전언찬
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.04a
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    • pp.365-370
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    • 2001
  • This study is the selection of optimum forming condition for RP system using ADS. Program using ADS reduces the required time for feedback between design and manufacturing of workpiece. When we produce rapid prototype using RP system, we investigate the relationship between Facetres in system variable number of AutoCAD and circularity of rapid prototype, and we will find optimum forming condition in RP system.

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A research on Postprocess Finishing Method of The Rapid Prototyping Parts (쾌적조형 부품의 후처리 방안에 관한 연구)

  • 양화준;김성준;장태식;이일엽;이석희
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.83-86
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    • 1997
  • Even as many methods and technologies have been introduced on data generation, parts orientation and layer slicing to acquire the rapid prototyping(RP) parts that have useful surface to satisfy customers' needs such as stylingldesign verification directionlindirect tooling directly from the RP machine, these trials continue to suffer from the surface roughness due to the build characteristics of RP technology. A new postprocess finishing method is suggested in this paper to overcome the surface roughness problem on the surface of the RP parts. To prevent deterioration of dimensional accuracy from the conventional grinding-only, and coating-grinding methods, 4-step surface finishing process is applied. To satisfy the various requirements from the RP oriented industrial f elds, effective procedure, coating material, grmd~ng tools and methods are employed.

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