• Title/Summary/Keyword: complex product

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Optimization of Dies Angles to Improve the Dimensional Accuracy and Straightness of the Shaped Drawn Product based on the FE Simulation and the Taguchi Method (유한요소해석 및 다구찌법을 이용한 형상인발제품 치수정도 및 진직도 향상을 위한 다이스각 최적화)

  • Lee, Sang-Kon;Lee, Jae-Eun;Kim, Byung-Min
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.32 no.6
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    • pp.474-480
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    • 2008
  • Recently, rods having irregular sections more complex than a rectangle or ellipse are necessary to produce mechanical parts. The cold shaped drawing process is used to obtain shaped drawn products with high levels of dimensional accuracy and quality. A cross roller guide, considered in this study, is one of the parts produced by shaped drawing process. A cross roller guide has a linear bearing system that rolls along a guide way. A cross roller guide is one of the most important components in terms of equipment because the quality of the product influences the precision linear motion. Therefore, the final dimensional accuracy of the linear rail in the shaped drawing is very important. The objective of this study is to find the optimized die angles to improve the dimensional accuracy and straightness of the final shaped drawn product. In order to achieve the aim of this study, design of experiment, FE-simulation, and the Taguchi method were used. Based on the analytical results, shaped drawing experiment has been performed to verify the result.

Manufacturing of Product by Semi-Solid Forging (반용융 단조품의 제조)

  • Park, Hyung-Jin;Kang, Chung-Gil;Kim, Byung-Min;Choi, Jae-Chan
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.6
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    • pp.45-51
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    • 1999
  • The semi-solid forging is a new forging technology in which the billet is heated to the semi-solid state coexisting liquid and solid phase for making globular microstructure and subsequently formed. As the semi-solid forging is compared with conventional casting such as die casting and squeeze casting for the characteristics of its process, the product without inner defects such as gas porosity and segregation can be obtained and its microstructure is globular grain. Simutaneously, its mechanical properties are improved by globular microstructure and the lower temperature of the slug causes the cycle time of manufacturing to be shortened and the die life to be lengthened. As it is compared with conventional cold and hot forging, it is possible to minimize the equipment of production owing to a lower forming load and reduce the number of process by a followed treatment for complex shaped product. Therefore it is needed to confirm the quality of a semi-solid forged product by defining its characteristics quantitatively under these advantages. This paper investigates the formability of a master cylinder by its forming variables. And the microstructural characteristics and mechanical property of it is also studied.

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Modeling Traceability Between Software Product Line Requirements and Architecture (소프트웨어 제품 라인의 요구사항과 아키텍처 간 추적성 모델링)

  • Eom, Seokhwan;Kang, Sungwon;Kim, Jingyu;Lee, Seonah
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.11
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    • pp.487-498
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    • 2015
  • Traceability enables software developers to trace up the changes occurring in software artifacts. In software product line, traceability is more complex than traceability in a single product as commonality and variability should be considered. Modeling traceability between features and requirements has been proposed in the past. However, traceability between requirements and architecture has more factors to consider, including many-to-many mappings and hierarchical structure of architectures. This paper proposes a method of systematically constructing platform traceability between platform requirements and platform architecture. This paper also shows the efficacy of the proposed mechanism through case studies.

Performance Models of Multi-stage Bernoulli Lines with Multiple Product and Dedicated Buffers (다품종 제품과 전용 대기공간을 고려한 다단계 베르누이 라인을 위한 성능 모델)

  • Park, Kyungsu;Han, Jun-Hee;Kim, Woo-Sung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.3
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    • pp.22-32
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    • 2021
  • To meet rapidly changing market demands, manufacturers strive to increase both of productivity and diversity at the same time. As a part of those effort, they are applying flexible manufacturing systems that produce multiple types and/or options of products at a single production line. This paper studies such flexible manufacturing system with multiple types of products, multiple Bernoulli reliability machines and dedicated buffers between them for each of product types. As one of the prevalent control policies, priority based policy is applied at each machines to select the product to be processed. To analyze such system and its performance measures exactly, Markov chain models are applied. Because it is too complex to define all relative transient and its probabilities for each state, an algorithm to update transient state probability are introduced. Based on the steady state probability, some performance measures such as production rate, WIP-based measures, blocking probability and starvation probability are derived. Some system properties are also addressed. There is a property of non-conservation of flow, which means the product ratio at the input flow is not conserved at the succeeding flows. In addition, it is also found that increased buffer capacity does not guarantee improved production rate in this system.

A study on the prediction of optimized injection molding conditions and the feature selection using the Artificial Neural Network(ANN) (인공신경망을 통한 사출 성형조건의 최적화 예측 및 특성 선택에 관한 연구)

  • Yang, Dong-Cheol;Kim, Jong-Sun
    • Design & Manufacturing
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    • v.16 no.3
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    • pp.50-57
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    • 2022
  • The qualities of the products produced by injection molding are strongly influenced by the process variables of the injection molding machine set by the engineer. It is very difficult to predict the qualities of the injection molded product considering the stochastic nature of the manufacturing process, since the processing conditions have a complex impact on the quality of the injection molded product. It is recognized that the artificial neural network(ANN) is capable of mapping the intricate relationship between the input and output variables very accurately, therefore, many studies are being conducted to predict the relationship between the results of the product and the process variables using ANN. However in the condition of a small number of data sets, the predicting performance and robustness of the ANN model could be reduced due to too many input variables. In the present study, the ANN model that predicts the length of the injection molded product for multiple combinations of process variables was developed. And the accuracy of each ANN model was compared for 8 process variables and 4 important process inputs that were determined by the feature selection. Based on the comparison, it was verified that the performance of the ANN model increased when only 4 important variables were applied.

The Value of Augmented Reality Virtual Try-On and Product Information Distribution in Amplifying Customer Satisfaction through Brand Experience

  • KURNIAWATI;Michael CHRISTIAWAN;Felicia HERMAN;Irmawan RAHYADI;La MANI
    • Journal of Distribution Science
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    • v.22 no.10
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    • pp.65-77
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    • 2024
  • Purpose: This research analyzes consumer behavior by examining how augmented reality virtual try-on features and product information distribution affect consumer satisfaction through enhanced brand experience. The focus is on Maybelline's Shopee Official Account, as implementing these strategies can strengthen customer relationship management by improving the online shopping experience for cosmetic products. Research design, data and methodology: Employing a quantitative method, this study utilized a survey technique distributed to 100 respondents who are followers of Maybelline's Shopee Official Account. The data were analyzed using Structural Equation Modeling (SEM), supported by SmartPLS. Results: This study provides evidence that augmented reality does not significantly affect brand experience or customer happiness. The research findings indicate that while this technology enables customers to test cosmetics digitally, its impact on customer satisfaction is minimal. Augmented reality does not appear to influence consumer behavior, as reflected in customer satisfaction. Conclusions: This research underscores the importance of understanding contextual factors and product characteristics when incorporating augmented reality in marketing to harness its potential benefits and influence consumer behavior. The study focused exclusively on the identified variables and Maybelline's cosmetic products available on the Shopee platform. Further research is required to explore more complex variables.

Effect of Motif Designs on Preferences and Image Perception (의복의 문양에 따른 의복 및 직물 선호 - 포카다트, 스트라이프, 체크 문양을 중심으로 -)

  • Lee, So-Ra;Kim, Jae-Sook
    • The Research Journal of the Costume Culture
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    • v.15 no.2 s.67
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    • pp.193-202
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    • 2007
  • The purpose of this study was to find out effects of textile motifs and the application methods on wearer's image perception. A survey was conducted to total of 255 male and female university students who are residing in Daejeon and Chungnam province. The stimuli were composed of 2 level tones(dark and light), 3 level complexity(simple, medial and complex), 3 patterns(polka dot, stripe and check) and the 2 way of stimuli application methods(fabric and garment). The instrument for measuring preference of stimuli consisted of 4 items, encouraging, preference, purchasing and popularity. The instrument for measuring image of stimuli consisted 24 pair items. Factor analysis for the adjective pair images(24 inquiries) about the textile patterns which were used in this study was performed. It resulted as three factors which are attraction, salience, and potential. Attraction, salience, and potency dimensions showed the most significant interaction effects of application methods and patterns. And tone and application method effected attraction and salience, tones and patterns effected attraction, tones and complex effected salience. Application methods and patterns effected potential and patterns and complex effected salience. The preferences toward stimuli, it resulted only interaction of tones and patterns affected the preferences('total preference' and 'purchasing'). Pearson's product-moment correlation analysis carried out to find out the relation of images of clothing and preferences. As a result, salience was significant relation with attraction and potency. In correlation between image of textile pattern and preference, attraction is most significant relation with the preference. The results of the study could be used for the marketing strategies of the motif in fashion product.

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Single-stranded DNA Enhances the Rate of Product Release During Nucleotide Hydrolysis Reaction by T7 DNA Helicase

  • Kim, Dong-Eun;Jeong, Yong-Joo
    • Bulletin of the Korean Chemical Society
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    • v.27 no.10
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    • pp.1618-1622
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    • 2006
  • Bacteriophage T7 gp4A' is a ring-shaped hexameric DNA helicase that catalyzes duplex DNA unwinding using dTTP hydrolysis as an energy source. To investigate the effect of single-stranded DNA (ssDNA) on the kinetic pathway of dTTP hydrolysis by the T7 DNA helicase complexed with ssDNA, we have first determined optimal concentration of long circular M13 single-stranded DNA and pre-incubation time in the absence of $Mg^{2+}$ which is necessary for the helicase-ssDNA complex formation. Steady state dTTP hydrolysis in the absence of $Mg^{2+}$ by the helicase-ssDNA complex provided $k_{cat}$ of $8.5\;{\times}\;10^{-3}\;sec^{-1}$. Pre-steady state kinetics of the dTTP hydrolysis by the pre-assembled hexameric helicase was monitored by using the rapid chemical quench-flow technique both in the presence and absence of M13 ssDNA. Pre-steady state dTTP hydrolysis showed distinct burst kinetics in both cases, indicating that product release step is slower than dTTP hydrolysis step. Pre-steady state burst rates were similar both in the presence and absence of ssDNA, while steady state dTTP hydrolysis rate in the presence of ssDNA was much faster than in the absence of ssDNA. These results suggest that single-stranded DNA stimulates dTTP hydrolysis reaction by T7 helicase by enhancing the rate of product release step.

Construction of a Toolkit for Customizing a PDM Framework (PDM 프레임워크 재 정의 도구 구축)

  • Kim, Jeong-Ah
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.1
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    • pp.38-47
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    • 2001
  • PDM is an integrated solution for managing various kinds of document and information for a whole life~cycle of product management. PDM system spans a huge and complex area and requires so many efforts and budgets for development. A framework has been considered a promising way to improve productivity by reusing the software architecture, not just one part of the design or just source code. This was the reaSon why we developed PDM (Product Data Management) framework. Framework can reduce the time and efforts to develop a new PDM application. However, it also requires supporting environment since a framework is a big set of classes where their interactions are so complex. With this supporting environment, it is easy to understand the framework at a glance and easy to identify what hot spots to be refined to meet new requirements. In this paper, a new framework-supporting reuse environment based on the meta-repository was constructed for easy and convenient reuse.

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An XML-based Digital Mock-Up System for Heterogeneous Multi-CAD Assembly (XML을 이용한 이기종 CAD 조립체 DMU시스템의 설계)

  • Song, In-Ho;Chung, Sung-Chong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.31 no.6 s.261
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    • pp.635-643
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    • 2007
  • As many engineers and technicians are involved in the design process of large scale and/or complex products, there are a lot of miss matches and interferences due to designers' faults and several kinds of CAD systems. Recently, CAD systems are applied to verify and check the assembly process. Digital Mock-Up(DMU) system, a tool to build a virtual mock-up in the design stage, has been used to prevent the interferences and miss matches during precision design processes. Using the virtual assembly tool, engineers are able to design precision and interference free parts without physical mock-ups. Instead of a single CAD source, several CAD systems are used to design a complex product. Several organizations are involved in the distributed design environment for heterogeneous multi-CAD assembly. XML and the lightweight CAD file are proposed for the multi-CAD assembly. XML data contains hierarchy of the heterogenenous multi-CAD assembly. STEP PDM schema and STEP ISO 10303-28 formations are applied to construct the XML data. The lightweight CAD file produced from various CAD files through ACIS kernel and InterOp not only contains mesn, B-Rep and topological data, but also is used to visualize CAD data and to verify dimensions. Developed system is executed on the desktop computers. It does not require commercial CAD systems to visualize 3D assembly data. Real-time interference and fitness checks, dimensional verification, and design and assembly verification are performed on the developed system. Assembly of heterogeneous models for a car is conducted to verify the effectiveness of the developed DMU system on the Internet.