• 제목/요약/키워드: CAPP

검색결과 107건 처리시간 0.021초

공정계획의 자동화를 위한 각주형 파트의 특징형상 인식 : 확장된 AAG 접근 방법 (Feature Recognition of Prismatic Parts for Automated Process Planning : An Extended AAG A, pp.oach)

  • 지원철;김민식
    • 지능정보연구
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    • 제2권1호
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    • pp.45-58
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    • 1996
  • This paper describes an a, pp.oach to recognizing composite features of prismatic parts. AAG (Attribute Adjacency Graph) is adopted as the basis of describing basic feature, but it is extended to enhance the expressive power of AAG by adding face type, angles between faces and normal vectors. Our a, pp.oach is called Extended AAG (EAAG). To simplify the recognition procedure, feature classification tree is built using the graph types of EEA and the number of EAD's. Algorithms to find open faces and dimensions of features are exemplified and used in decomposing composite feature. The processing sequence of recognized features is automatically determined during the decomposition process of composite features.

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선삭공정에서 CAD 인터페이스된 자동공정계획시스템개발에 관한 연구(II) : 작업준비계획의 자동화 (A Study on CAD interfaced CAPP System for Turning Operation (II) : Automatic Setup Planning)

  • 조규갑;김인호
    • 대한산업공학회지
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    • 제18권1호
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    • pp.155-167
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    • 1992
  • This paper presents an automatic setup planning system for turning operation of symmetric rotational parts. The proposed setup planning system determines workpiece holding method, number of setup, clamping surface, and workpiece holding device by using design data, part description database and part feature recognition information. The workpiece holding method is based on functional name and length/diameter ratio of the given part, and number of setup is determined by part profile type and its technological constraints. Clamping surface and workpiece holding device are determined by using information about the results of workpiece holding method and number of setup, and capacity of workpiece holding devices. A case study is performed to show the performance of the proposed system.

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특징형상을 이용한 선각설계

  • 이경식;최영;강원수
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.559-564
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    • 1995
  • Feature based design approach is widely studied for the application of mechanical part design and process planning. Mechanical parts are associated with volumetric form features in nature. Therfore, one of the important characteristics that reside in the form feature research until now is that features have been studied in connection with CAPP for material removal. We studied the application of feature based design for ship structure design. Ship structure has interesting nature that tis distinct from mechanical parts. Among these are multiple cell structure, non-volumetric part and production by welding or assembling. An idea of applying feature based design paradigm for design, process planning, cost analysis and engineering calculation was shown. Non-manifold geometric modeler ACIS was adopted to fully benefit from the non-manifold nature of ship structure.

금속선재 전방공급형 3D프린터를 위한 공정계획 (CAPP for 3D Printer with Metallic Wire Supplied from the Front)

  • 김호찬;김재구
    • 한국기계가공학회지
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    • 제17권5호
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    • pp.155-160
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    • 2018
  • The materials used for 3D printing are mainly plastic and metal. These materials are usually used in the powdered form. In order to improve the surface roughness of a manufactured product, these powders should consist of small uniform spherical particles. However, the powdered forms are sold at a considerably higher price than bulk or wired materials. When a wire-type material is used instead of a powder, we can supply a relatively large amount of the material at one time as well as reduce the cost. Moreover, the use of this form of the material will increase the process efficiency. This paper deals with the technology required to feed a wire material in front of the tool movement and discusses the examples used for the verification.

분산공정계획을 위한 특징형상 기반 추출 공정 및 가공자원 조합 (Combination of Feature-Based Extraction Process and Manufacturing Resource for Distributed Process Planning)

  • 오익수
    • 대한기계학회논문집A
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    • 제37권2호
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    • pp.141-151
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    • 2013
  • 공정계획은 공작물을 원자재 형태의 초기단계로부터 원하는 형상의 마무리 단계까지 경제적이고 완전하게 가공할 수 있는 상세한 방법을 체계적으로 결정하는 것으로 정의되며, 형상으로부터 가공 공정을 추출하여 각 공정을 수행할 수 있는 공작기계 및 공구를 결정하는 과정이 공정계획의 출발점이 된다. 분산공정계획은 형상으로부터 추출된 각 공정에 적합한 가공작업, 공구 등과 같은 다양한 가공자원들을 서로 조합하여, 공작기계의 부하를 고려한 생산계획을 용이하게 수립할 수 있도록 한다. 본 연구에서는 분산공정계획 시스템을 위하여 가공자원 데이터베이스를 구축하고, 가공특징형상을 기반으로 한 작업공정 추출과 각 공정에 유용한 가공자원들을 조합하여 최적의 가공자원을 추출하기 위한 알고리즘을 제안하고 구현하였다.

A Conclusive Review on Amyloid Beta Peptide Induced Cerebrovascular Degeneration and the Mechanism in Mitochondria

  • Merlin, Jayalal L.P.
    • 통합자연과학논문집
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    • 제6권3호
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    • pp.125-137
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    • 2013
  • Promising evidence suggests that amyloid beta peptide ($A{\beta}$), a key mediator in age-dependent neuronal and cerebrovascular degeneration, activates death signalling processes leading to neuronal as well as non-neuronal cell death in the central nervous system. A major cellular event in $A{\beta}$-induced apoptosis of non-neuronal cells, including cerebral endothelial cells, astrocytes and oligodendrocytes, is mitochondrial dysfunction. The apoptosis signalling cascade upstream of mitochondria entails $A{\beta}$ activation of neutral sphingomyelinase, resulting in the release of ceramide from membrane sphingomyelin. Ceramide then activates protein phosphatase 2A (PP2A), a member in the ceramide-activated protein phosphatase (CAPP) family. PP2A dephosphorylation of Akt and FKHRL1 plays a pivotal role in $A{\beta}$-induced Bad translocation to mitochondria and transactivation of Bim. Bad and Bim are pro-apoptotic proteins that cause mitochondrial dysfunction characterized by excessive ROS formation, mitochondrial DNA (mtDNA) damage, and release of mitochondrial apoptotic proteins including cytochrome c, apoptosis inducing factor (AIF), endonuclease G and Smac. The cellular events activated by $A{\beta}$ to induce death of non-neuronal cells are complex. Understanding these apoptosis signalling processes will aid in the development of more effective strategies to slow down age-dependent cerebrovascular degeneration caused by progressive cerebrovascular $A{\beta}$ deposition.

타원형 디프 드로잉 트랜스퍼 금형의 공정설계 전문가 시스템(I) (An Expert System for the Process Planning of the Elliptical Deep Drawing Transfer Die)

  • 박동환;박상봉;강성수
    • 한국CDE학회논문집
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    • 제5권3호
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    • pp.255-262
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    • 2000
  • A computer-aided process planning (CAPP) system for rotationally symmetric deep drawing products has been developed. The application for non-axisymmetric components, however, has not been reported yet. Therefore, this study investigates process sequence design in deep drawing process and constructs an expert system of process planning for non-axisymmetric motor frame products with elliptical shape. The system developed consists of four modules. The first one is recognition of shape module to recognize the products. The second one is a 3-D modeling module to calculate surface area for non-axisymmetric products. The third one is a blank design module that creates an oval-shaped blank with the identical surface area. The forth one is a process planning module based on production rules that play the best important role in an expert system for manufacturing. The production rules are generated and upgraded by interviewing with field engineers. The constructed system using AutoLISP language under the AutoCAD environment is baled on the knowledge base system which is involved a lot of expert's technology. Results of this system will be provide effective aids to the designer and engineer in this field.

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동적 공정계획에서의 기계선정을 위한 다목적 유전자 알고리즘 (Multi-Objective Genetic Algorithm for Machine Selection in Dynamic Process Planning)

  • 최회련;김재관;이홍철;노형민
    • 한국정밀공학회지
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    • 제24권4호
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    • pp.84-92
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    • 2007
  • Dynamic process planning requires not only more flexible capabilities of a CAPP system but also higher utility of the generated process plans. In order to meet the requirements, this paper develops an algorithm that can select machines for the machining operations by calculating the machine loads. The developed algorithm is based on the multi-objective genetic algorithm that gives rise to a set of optimal solutions (in general, known as the Pareto-optimal solutions). The objective is to satisfy both the minimization number of part movements and the maximization of machine utilization. The algorithm is characterized by a new and efficient method for nondominated sorting through K-means algorithm, which can speed up the running time, as well as a method of two stages for genetic operations, which can maintain a diverse set of solutions. The performance of the algorithm is evaluated by comparing with another multiple objective genetic algorithm, called NSGA-II and branch and bound algorithm.

A response matrix method for the refined Analytic Function Expansion Nodal (AFEN) method in the two-dimensional hexagonal geometry and its numerical performance

  • Noh, Jae Man
    • Nuclear Engineering and Technology
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    • 제52권11호
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    • pp.2422-2430
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    • 2020
  • In order to improve calculational efficiency of the CAPP code in the analysis of the hexagonal reactor core, we have tried to implement a refined AFEN method with transverse gradient basis functions and interface flux moments in the hexagonal geometry. The numerical scheme for the refined AFEN method adopted here is the response matrix method that uses the interface partial currents as nodal unknowns instead of the interface fluxes used in the original AFEN method. Since the response matrix method is single-node based, it has good properties such as good calculational efficiency and parallel computing affinity. Because a refined AFEN method equivalent nonlinear FDM response matrix method tried first could not provide a numerically stable solution, a direct formulation of the refined AFEN response matrix were developed. To show the numerical performance of this response matrix method against the original AFEN method, the numerical error analyses were performed for several benchmark problems including the VVER-440 LWR benchmark problem and the MHTGR-350 HTGR benchmark problem. The results showed a more than three times speedup in computing time for the LWR and HTGR benchmark problems due to good convergence and excellent calculational efficiency of the refined AFEN response matrix method.

타원형 디프 드로잉 트랜스퍼 금형의 공정설계 전문가 시스템(II) (An Expert System for the Process Planning of the Elliptical Deep Drawing Transfer Die(II))

  • 배원락;박동환;박상봉;강성수
    • 한국CDE학회논문집
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    • 제7권1호
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    • pp.9-17
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    • 2002
  • The study is insufficient on process planning of the elliptical deep drawing product. Thus, in this present study, the expert system for elliptical deep drawing products was constructed by using process sequence design. The expert system was developed to be based on the general concept of each entity. The system was developed in this work consists of sixth modules. The first one is a shape recognition module to recognize non-axisymmetric products and to generate Entity_list. The second one is three dimensional (3-D) modeling module to calculate the surface area for non-axisymmetric products. The third one is a blank design module to create suggested blanks of three shapes with the identical surface area. The fourth one is shape design module based on the production rules that play the most important role in an expert system for manufacturing. The production rules are generated and upgraded by inter- viewing field engineers, plastic theory and experiments. The fifth and sixth ones are a graphic module to visualize results of the expert system and a post module to rise user's convenience, respectively. According to constructed the expert system for process sequence design, it was possible to reduce the lead time.