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Journal articles on the topic 'Computer Aided Engineering (CAE)'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Kolbasin, Alexander, and Oksana Husu. "Computer-aided design and Computer-aided engineering." MATEC Web of Conferences 170 (2018): 01115. http://dx.doi.org/10.1051/matecconf/201817001115.

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In modern industrial production some of the major factors of successful development include: cost reduction of the production, im-provement of its quality, as well as help to minimise the time in market en-try. Computer-aided design and Computer-aided engineering (CAD / CAE - systems) are the most effective for implementation of these requirements. Possible use of this engineering modeling simulation in conjunction with the power and speed of high performance computing could reduce costs and time of each cycle of designing, and also significantly reduce devel-opment time. The introduction of new technologies, the use of high quality products and engagement of qualified personnel would allow businesses and organizations to get on a path of innovative development of design and production systems.

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2

Hall, P. A. V., and G. H. Galal. "Computer-aided software engineering." Computer-Aided Engineering Journal 6, no. 4 (1989): 113. http://dx.doi.org/10.1049/cae.1989.0028.

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3

Cronin, Denis. "Conference report. Computer-aided engineering." Computer-Aided Engineering Journal 2, no. 1 (1985): 32. http://dx.doi.org/10.1049/cae.1985.0007.

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4

Winter, Peter. "Tutorial. Computer-aided process engineering." Computer-Aided Engineering Journal 6, no. 1 (1989): 6. http://dx.doi.org/10.1049/cae.1989.0003.

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5

Vinodh, S., and D. Kuttalingam. "Computer‐aided design and engineering as enablers of agile manufacturing." Journal of Manufacturing Technology Management 22, no. 3 (March 15, 2011): 405–18. http://dx.doi.org/10.1108/17410381111112747.

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PurposeThe purpose of this paper is to investigate computer‐aided design (CAD) and computer‐aided engineering (CAE) as enablers of agile manufacturing (AM).Design/methodology/approachBased on the literature review, the importance of technology integration enabling AM has been found. CAD technology has been used for modelling baseline product; CAE has been used for deriving optimized parameters; new designs have been derived.FindingsThe feasibility of CAD and CAE as enablers of AM has been ensured.Research limitations/implicationsThe study has been conducted only in one automotive sprocket manufacturing organization.Practical implicationsThe practical feasibility of generating new products through technology integration has been ensured.Originality/valueVery little research has been reported on technology‐integrated AM practices. In this study, CAD and CAE have been used for enabling product development.

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Shelar, Vaibhav, Selamani Subramani, and Jebaseelan Davidson. "R-tree data structure implementation for Computer Aided Engineering (CAE) tools." International Journal for Simulation and Multidisciplinary Design Optimization 12 (2021): 6. http://dx.doi.org/10.1051/smdo/2021005.

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Searching and handling geometric data are basic requirements of any Computer Aided Engineering application (CAE). Spatial search and local search has greater importance in CAD and CAE applications for reducing the model preparation time. There are many efficient algorithms being made to search geometrical data. Current neighbour search strategy is limited and not efficient in different CAE platforms. R-tree is tree data structure used for spatial access methods. This paper presents a review of R-tree data structure with its implementation in one of the CAE tool for neighbour search and local search. It satisfies current neighbour search requirements in CAE tools. Results shows considerable amount of time saving compared to the conventional approach. This work concludes that R-tree implementation can be helpful in identifying neighbour part and reducing model preparation time in CAD and CAE tools.

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Belmans, R., D. Verdijck, and W. Geysen. "Computer-aided engineering in electrical machines." Computer-Aided Engineering Journal 6, no. 4 (1989): 128. http://dx.doi.org/10.1049/cae.1989.0030.

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8

Iskander, Magdy F. "Computer-aided engineering education and more." Computer Applications in Engineering Education 1, no. 5 (1993): 385–86. http://dx.doi.org/10.1002/cae.6180010501.

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9

Sydenham, P. H. "Computer-aided engineering of measuring instrument systems." Computer-Aided Engineering Journal 4, no. 3 (1987): 117. http://dx.doi.org/10.1049/cae.1987.0028.

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Sudjianto, Agus, Lokesh Juneja, Hari Agrawal, and Mahesh Vora. "Computer Aided Reliability and Robustness Assessment." International Journal of Reliability, Quality and Safety Engineering 05, no. 02 (June 1998): 181–93. http://dx.doi.org/10.1142/s0218539398000182.

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The competitive pressure to shorten product development time has necessitated the automotive industry to rely more on Computer Aided Engineering (CAE) for analyzing and proving product reliability and robustness. The challenge of this approach is the incorporation of product variability, due to manufacturing and customer usage variations in the analysis, requires a massive computation process which may be prohibitive even with today's advanced computers. In this paper, we demonstrate the use of an efficient computational procedure based on optimal Latin Hypercube Sampling (LHS) and a "cheap-to-compute" nonlinear surrogate model using Multivariate Adaptive Regression Splines (MARS) to emulate a computationally intensive complex CAE model. The result of the analysis is the identification of sensitivity of design parameters, in addition to a computationally affordable reliability assessment. Fatigue life durability of automotive shock tower is presented as an example to demonstrate the methodology.

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11

Kyratsis, Panagiotis, Konstantinos Kakoulis, and Angelos P. Markopoulos. "Advances in CAD/CAM/CAE Technologies." Machines 8, no. 1 (March 13, 2020): 13. http://dx.doi.org/10.3390/machines8010013.

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12

Thilmany, Jean. "CAD meets CAE." Mechanical Engineering 121, no. 10 (October 1, 1999): 66–69. http://dx.doi.org/10.1115/1.1999-oct-4.

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This article focuses on engineering developments to integrate computer-aided engineering (CAE) and computer-aided design (CAD) capabilities in a software. CAD/CAE software suites are making their way to the forefront of current design practices, because they contain capabilities that allow designers to build an initial prototype that has already been analyzed by the CAE system for design flaws. Engineers at Cannondale have used an integrated CAD/CAE package to cut one year from the design time of their full-suspension Raven frame, which is both lightweight and stiff and has a suspension fork and a rear swing arm. The CAD software is used to design the bicycle frame while the CAE software immediately analyzes design flaws, which are then corrected, eliminating the need for continual prototyping. Companies are finding that the easy-to-learn nature of these CAD/CAE programs allows them to put analysis capability in the hands of design engineers for the first time.

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13

Zaman, Mohd Hairi Mohd, Mohd Hadri Hafiz Mokhtar, Mohd Faisal Ibrahim, Aqilah Baseri Huddin, and Gan Kok Beng. "Integration of 3D printing in computer-aided design and engineering course." International Journal of Evaluation and Research in Education (IJERE) 9, no. 4 (December 1, 2020): 934. http://dx.doi.org/10.11591/ijere.v9i4.20652.

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Engineering students at an undergraduate level typically learn the design aspect and concept through lectures and practical sessions using computeraided software. However, the current computer-aided design and engineering (CAD/CAE) course did not expose the students to apply and relate the latest advanced technologies to solve global issues, for instance as listed in the United Nations Sustainable Development Goals (UN SDG). Therefore, an improved CAD/CAE course taken by the students of the Electrical and Electronic Engineering Programme in Universiti Kebangsaan Malaysia integrates 3D printing and conduct their project based on UN SDG themes. A total of 22 projects was produced, which involves both mechanical and electrical design with some of the physical models were 3D printed. Thus, students able to strengthen their understanding of the design concept through the integration of 3D printing and simultaneously aware of the current global issues.

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14

Petcharawan, Supakanya, Nuttaphong Sornsuwit, and Wanlop Harnnarongchai. "Computer-Aided Design and Engineering for M16 Handguard Manufacturing." Key Engineering Materials 728 (January 2017): 422–27. http://dx.doi.org/10.4028/www.scientific.net/kem.728.422.

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This work presents a computer-aided design and engineering CAD/CAE for design and optimization of M16 handguard manufacturing. A new design of handguard was developed in term of various combinations of supporting ribs inside the component. Finite Element Analysis (FEA) was used to simulate the stress distribution as well as the evaluation of supporting ribs in the component. The injection molding was used for production of the hand guard; therefore, the CAE was used to simulate the effect of gate location and gate type on the weld lines. The excessive-flash technique, which extends the fill time and continues the melt lines to flow after the melt recombination, has been introduced in order to reduce the weld lines. The simulation results indicated that the stress concentration in the loading and vent holes regions had the potential to cause the handguard to fracture. However, the combinations of vertical and horizontal ribs can reduce the stress concentration in the component. The weld lines located near the vent hole, in which the melt fronts came in contact with each other. The type and location of gates did not affect the weld line while the weld lines were observed to be strongly influenced by the excessive flash.

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Wang, Chen, Jeffrey B. H. Yap, Heng Li, Jiayun Chua, Asrul S. Abdul-Razak, and Faizul A. Mohd-Rahim. "Topographical survey engineering education retrofitted by computer-aided 3D-printing." Computer Applications in Engineering Education 26, no. 6 (June 22, 2018): 2116–30. http://dx.doi.org/10.1002/cae.22004.

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16

Ooi, T. H., K. T. Lau, C. H. Lim, and V. F. Ong. "Computer-aided testing station for VCRs." Computer-Aided Engineering Journal 7, no. 3 (1990): 80. http://dx.doi.org/10.1049/cae.1990.0020.

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Djordjevic, Jovan, Bosko Nikolic, Tanja Borozan, and Aleksandar Milenković. "CAL2: Computer aided learning in computer architecture laboratory." Computer Applications in Engineering Education 16, no. 3 (2008): 172–88. http://dx.doi.org/10.1002/cae.20141.

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18

Abo-Elnor, M., M. Abo_Elkhair, and A. Radi. "Computer Aided Engineering (CAE) Techniques Applied to Hip Implant." International Conference on Applied Mechanics and Mechanical Engineering 14, no. 14 (May 1, 2010): 1–9. http://dx.doi.org/10.21608/amme.2010.37699.

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19

Halpern, Mar. "Pushing the Design Envelope with CAE." Mechanical Engineering 120, no. 11 (November 1, 1998): 66–71. http://dx.doi.org/10.1115/1.1998-nov-2.

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This article examines the growing usefulness of computer-aided engineering (CAE) programs for the design of electronics packaging. CAE combined with expert interpretation, can help manufacturers quickly satisfy demand for increasingly small yet reliable products. Currently, three classes of software specifically support electronics packaging design: integrated computer-aided design (CAD) CAE software, general-purpose CAE software, and specialty CAE software solutions. The integrated CAE software emphasizes automatic creation and updating of finite-element-analysis (FEA) models based on CAD geometry. The effectiveness of this associativity between CAD and FEA depends on the product behavior to be evaluated and the quality of implementation. CAE simulation can calculate the maximum acceptable loads on pins, as well as the vibration characteristics of components. Solids-based CAD helps detect interference problems across components, as in these exploded views of a disc drive and a headset. While several general-purpose CAE suppliers permit engineers to build customized environments for automating model creation, specialty suppliers such as Pacific Numerix deliver the specific automated capabilities and connector libraries.

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20

Turng, L.-S., and M. Peić. "Computer aided process and design optimization for injection moulding." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 12 (December 1, 2002): 1523–32. http://dx.doi.org/10.1243/095440502321016288.

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Sophisticated computer aided engineering (CAE) simulation tools for injection moulding have been available and are now widely used in industrial practices. As a result, the design and manufacturing of injection-moulded parts have been literally transformed from a ‘black art’ to an engineering discipline based on scientific principles. It is well recognized that computer simulation tools help engineers to gain process insight and to pinpoint blind spots and problems that are overlooked. Nevertheless, there remains a missing link in CAE, which lies in the ability to identify effectively the optimal design and process variables, as it is hampered by the sheer amount of computer-generated data and complex non-linear interactions among those input variables. This paper presents the system implementation and experimental verifications of an integrated CAE optimization tool that couples a process simulation program with optimization algorithms to determine intelligently and automatically the optimal design and process variables for injection moulding. In addition, this study enables evaluation and comparison of various local and global optimization algorithms in terms of computational efficiency and effectiveness for injection moulding, as presented in this paper.

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21

Otarawanna, Somboon, Kiattisak Ngiamsoongnirn, Atipong Malatip, Patipath Eiamaram, Sutthisak Phongthanapanich, Ekachai Juntasaro, Pruet Kowitwarangkul, Thanasan Intarakumthornchai, Parinya Boonmalert, and Chatthanon Bhothikhun. "An educational software suite for comprehensive learning of Computer‐Aided Engineering." Computer Applications in Engineering Education 28, no. 5 (June 11, 2020): 1083–109. http://dx.doi.org/10.1002/cae.22285.

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22

Ekici, Sami. "Computer-aided power system fault analysis." Computer Applications in Engineering Education 19, no. 1 (February 9, 2011): 66–70. http://dx.doi.org/10.1002/cae.20290.

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23

Bryan, M. J. "Elements of Computer-Aided Design and Manufacturing." Computer-Aided Engineering Journal 2, no. 3 (1985): 104. http://dx.doi.org/10.1049/cae.1985.0022.

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24

Sheldon, D. F., and W. McTaggart. "CAD/CAM: Computer-Aided Design and Manufacturing." Computer-Aided Engineering Journal 3, no. 1 (1986): 34. http://dx.doi.org/10.1049/cae.1986.0009.

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25

Nagarajan, R., and W. A. Jabar. "Computer-aided testing of a DC motor." Computer-Aided Engineering Journal 7, no. 3 (1990): 67. http://dx.doi.org/10.1049/cae.1990.0017.

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26

Goh, W. L. "Computer-aided design of high-frequency circuits." Computer-Aided Engineering Journal 7, no. 4 (1990): 113. http://dx.doi.org/10.1049/cae.1990.0027.

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27

Kubota, Tetsuyuki, and Peter Chow. "Development of CAD-to-CAE Model Preparation Technology." Applied Mechanics and Materials 459 (October 2013): 325–29. http://dx.doi.org/10.4028/www.scientific.net/amm.459.325.

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This paper explains and demonstrates how to reduce time for preparation of 3-dimensional (3D) geometrical Computer-Aided-Engineering (CAE) model from 3D Computer-Aided-Design (CAD) data. In generally, CAE model preparation is labor intensive and takes long time. Main part of preparation work is simplification of 3D-CAD data to decrease mesh scale and without impacting the solution accuracy. The purpose of this study is to create automatic CAE model preparation technology for reduction of preparation time. In this study, automatic model preparation method is developed by using of geometrical and topological information of 3D-CAD data. Benchmark test is performed to proof the efficiency of the method.

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28

Halpern, Marc. "Pushing the Design Envelope with CAE." Mechanical Engineering 120, no. 12 (December 1, 1998): 72–73. http://dx.doi.org/10.1115/1.1998-dec-6.

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This article focuses on the growing role of computer-aided engineering programs for the design of electronic packaging. While computer-aided engineering (CAD) clearly offers the potential to improve products and cut manufacturing costs and time, those who have adopted CAE are facing significant challenges in making it work. Historically, CAE has failed to deliver results fast enough to exert a major influence on design decisions. Instead, corporations have used finite-element results to validate previously determined designs. But because design changes later can cost more than correct up-front decisions, CAE simulation can offer cash benefits when it has a role in the initial stages of product design. Technical staff leaders must translate objectives into CAE work that is efficient and effective. The status of the measurements must always be available, in order to monitor progress.

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29

Tan, F. L., and S. C. Fok. "Development of a computer-aided educational tool incorporating MATLAB for engineering measurements." Computer Applications in Engineering Education 17, no. 2 (June 2009): 206–13. http://dx.doi.org/10.1002/cae.20204.

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30

Zhang, Xi Ai, and Fei Ma. "The Research of CAE Active Knowledge Aided System Based on Network." Applied Mechanics and Materials 182-183 (June 2012): 783–87. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.783.

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According to the application status of the Computer Aided Engineering (CAE) in mechanical design field and the higher knowledge threshold that is set up for designer by CAE technique, this paper puts forward to construct a basic prototype of system to provide knowledge assistance for CAE designer with active knowledge assistance method and operation encapsulation based on network. And it is encapsulated as the partner software of the CAE software to realize the effective utilization of the CAE to reduce the learning burden of designer and designing cost. The existence of this aided system promotes the application of CAE in mechanical design engineering and improves the innovation ability.

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31

Schwenk, Jonathan, Faisal Hossain, and David Huddleston. "A computer-aided visualization tool for stochastic theory education in water resources engineering." Computer Applications in Engineering Education 17, no. 4 (December 2009): 398–411. http://dx.doi.org/10.1002/cae.20233.

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32

Truslove, K. C. E. "The implications of tolerancing for computer-aided mechanical design." Computer-Aided Engineering Journal 5, no. 2 (1988): 79. http://dx.doi.org/10.1049/cae.1988.0017.

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33

Chan, C. C., and K. T. Chau. "Computer graphics aided design for an advanced electrical motor." Computer-Aided Engineering Journal 7, no. 3 (1990): 72. http://dx.doi.org/10.1049/cae.1990.0018.

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34

Gencer, Cetin, and Mehmet Gedikpinar. "A computer-aided educational tool for induction motors." Computer Applications in Engineering Education 20, no. 3 (March 29, 2010): 503–9. http://dx.doi.org/10.1002/cae.20418.

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35

Gomez, Juan, Justin Williams, In Hyouk Song, Yoo Jae Kim, Du Hwan Chun, Deok Ki Kim, Hae Joong Na, and Byoung Hee You. "Analysis of Acoustic Characteristics of a Car Cabin Using Computer-Aided Engineering." Applied Mechanics and Materials 268-270 (December 2012): 883–89. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.883.

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A computer-aided engineering (CAE) model was developed to analyze the acoustic characteristics of a car cabin. Pro/Engineer Wildfire 4.0 was used to three-dimensionally represent the geometry of the cabin. The CAE, using COMSOL Multiphysics 4.2a, was performed to investigate the distribution of sound pressure fields at natural frequencies. The principle mode indices were (2, 1, 1), (2, 1, 1), (1, 1, 1), and (2, 2, 2), corresponding to the modal coefficients 1, 2, 3, and 4 and the natural frequencies of 179.691, 139.276, 221.620, and 231.386 Hz, respectively. The results of the analysis provided insight into the car cabin design to suppress exterior and interior noise.

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36

Rodkwan, Supasit, Seksan Winyangkul, Kittinan Unnanon, Rungtham Panyawipart, Chana Raksiri, and Kunnayut Eiamsa-ard. "J-3 An Application of Computer Aided Design and Computer Aided Engineering for the Optimized Condition on Rubber Injection Moulding(Session: Interface/FEM/CAE)." Proceedings of the Asian Symposium on Materials and Processing 2006 (2006): 159. http://dx.doi.org/10.1299/jsmeasmp.2006.159.

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37

Gough, N. E. "The CAE Centre at Wolverhampton Polytechnic." Industry and Higher Education 2, no. 1 (March 1988): 53. http://dx.doi.org/10.1177/095042228800200111.

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The Computer-Aided Engineering (CAE) Centre at Wolverhampton Polytechnic offers an interdisciplinary service to industry, providing short courses, consultancy and research in computer-aided engineering. The main subjects offered are design, manufacturing, electronics and control. This report presents a brief account of the facilities of the Centre and the activities recently undertaken to promote research, technology transfer and collaboration.

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38

Konstantinidis, P. A., G. C. Koltsakis, and A. M. Stamatelos. "The role of computer aided engineering in the design optimization of exhaust after-treatment systems." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 212, no. 3 (March 1, 1998): 169–86. http://dx.doi.org/10.1243/0954407981525885.

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The goals of employing computer aided engineering (CAE) tools have always been the improvement of product quality and the simultaneous reduction of the related time-to-market and development costs. The latter may be achieved when the optimization procedure is carried out without the need to construct and test numerous prototypes. CAE tools and methodologies, apart from the design phase, can also be employed for dedicated prediction and analysis purposes, with the intention to fully exploit the capabilities of the catalytic exhaust system. A set of fundamental CAE tools and the accompanying (CAE) methodology, aiming to assist the design optimization of catalytic exhaust systems for spark-ignition-engined vehicles, are presented. The set comprises the following individual cooperating modules: a transient exhaust system heat transfer code, a transient three-way catalytic converter (3W-CC) computer code with an accompanying kinetics tuning procedure, a 3W-CC database and an ageing assessment methodology. The CAE methodology may be exploited in the directions of exhaust system design and optimization, addressing the catalytic exhaust system as an entity that consists of interrelated components. In that context, specific examples of real practice are demonstrated. This methodology is already being extensively used by the authors in research and development of automotive exhaust after-treatment systems, with promising results.

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39

Cobley, R. A. "The development of a computer-aided design course for undergraduate students of engineering science." Computer-Aided Engineering Journal 2, no. 4 (1985): 118. http://dx.doi.org/10.1049/cae.1985.0026.

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Lambourne, E. B. "Towards integration of computer-aided design, manufacture and production mangement." Computer-Aided Engineering Journal 3, no. 6 (1986): 240. http://dx.doi.org/10.1049/cae.1986.0059.

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Groth, P., and R. Kammerer. "Finite elements as an integrated part of computer-aided-engineering (CAE)." Nuclear Engineering and Design 97, no. 1 (October 1986): 61–79. http://dx.doi.org/10.1016/0029-5493(86)90071-3.

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Tan, F. L., and S. C. Fok. "An educational computer-aided tool for heat exchanger design." Computer Applications in Engineering Education 14, no. 2 (2006): 77–89. http://dx.doi.org/10.1002/cae.20073.

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43

Muñoz-Abella, B., C. Álvarez-Caldas, and L. Rubio. "Computer-aided tool for teaching mechanical clutch systems design." Computer Applications in Engineering Education 19, no. 3 (March 31, 2009): 493–500. http://dx.doi.org/10.1002/cae.20329.

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İrsel, Gürkan. "Strength-based design of a fertilizer spreader chassis using computer aided engineering and experimental validation." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 235, no. 12 (April 13, 2021): 2285–308. http://dx.doi.org/10.1177/0954406221993847.

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In this research, stress measurement tests and advanced application algorithms based on computer-aided design and engineering (CAD and CAE) were developed and tested. The algorithm was put implemented through a case study on the strength-based structural design and fatigue analysis of a chassis. This algorithm consists of numerical and experimental methods and additionally includes material tests, three-dimensional CAD, a finite element method (FEM)-based analysis procedures, a structural optimization strategy, prototype production, stress tests, a fatigue analysis, and design verification procedures. In the optimization study targeting the optimum chassis weight/strength ratio, two chassis prototypes, with 8 mm and a 5 mm wall thicknesses, were manufactured to verify the structural analysis and experimental tests. As a result of the FEA analyses, for 20 kN, which is the target load value of the chassis, for chassis thicknesses t = 5 mm and t = 8 mm, the maximum tensile strength was obtained as 93 MPa and 83 MPa, respectively. Thus, the material gain of 35.85 kg mass was achieved, and chassis utilization efficiency was increased. This research provides a useful methodology for experimental and advanced CAE techniques, especially for further research on complex stress and deformation analysis of chassis that are desired to be of optimum weight/strength ratio.

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45

Cho, Yong Won, Dae Sik Kim, Huy Tung Phuong, and Gwangyong Gim. "The Factors Affecting Continuous Usage Intention of Computer-Aided Engineering (CAE) Software." International Journal of Software Innovation 10, no. 1 (January 2022): 1–13. http://dx.doi.org/10.4018/ijsi.297508.

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The topic of improving manufacturing productivity has been constantly improving over a long period of time to compromise with unsatisfactory themes such as time, cost, and quality. It has recently faced a whole new challenge of pandemic as well as the various themes of the Fourth Industrial Revolution. At this point in time verifying the intent of continuing use to experts on Computer Engineering Simulation (CAE), one of the main topics of engineering areas for improving manufacturing productivity, is meaningful in determining the direction of future changes. To this end, CAE experts from manufacturing companies and government-funded research institutes conducted empirical studies on the impact of perceived value factors, information system factors, and brand factors on satisfaction and willingness to use. It found that the perceived economic, temporal value, information and service quality, and brand trust affect the degree of continuous use through satisfaction.

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46

Pratama, Ahmad Juang. "Virtual Prototyping Application using Computer Aided Engineering in Plastic Product Manufacturing." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 1, no. 2 (October 3, 2011): 83. http://dx.doi.org/10.36722/sst.v1i2.30.

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Efficiency in using plastic injection technology, especially within small to medium enterprises, is a very difficult target to achieve. One of the contributing factor to the high cost of using this technology is the trial and error nature of constructing the plastic mold which directly affect machninig cost and longet production cycle time. The trial and error scheme can be significantly reduced and even eliminated with the application of concurrent engineering method supported by virtual prototype based CAD <em>(computer aided design)</em> and CAE <em>(computer aided engineering).</em> Virtual prototype technology gives way to product analysis, design and material optimization, and proses parameter optimization prior to implementing the manufacturing process. Therefore, we can anticipate all potential manufacturing flaws during the design process. It is then expeceted to reduce machning and production process cost, increase product quality to boost up Company’s competitive advantage.

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47

M., Turof. "Optimizing body design of a computer-assisted manual press." Scientific Bulletin of Naval Academy XXII, no. 2 (December 15, 2019): 169–76. http://dx.doi.org/10.21279/1454-864x-19-i2-020.

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This paper proposes a simplified design of a press body manually using a model consisting of a double symmetrical frame flush. Both Mathcad and Solidworks programs were used to determine the dimensions and drawings. MathCad is a very complex program, but also very useful for engineers, researchers, mathematicians, students, teachers, and all those who use math. Mathcad is a much better way to perform and manage engineering calculations, making them easy to achieve, understand, verify, communicate, and logically follow. SolidWorks is a solid modeling computer-aided design (CAD) and computer-aided engineering (CAE) computer program that runs on Microsoft Windows.

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Nagashima, Hayato, Yoshiaki Sakamoto, Hisao Ogata, Junpei Miyamoto, Masaki Yazawa, and Kazuo Kishi. "Evaluation of Bone Volume after Secondary Bone Grafting in Unilateral Alveolar Cleft Using Computer-Aided Engineering." Cleft Palate-Craniofacial Journal 51, no. 6 (November 2014): 665–68. http://dx.doi.org/10.1597/13-045.

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The purpose of this study was to evaluate the initial defect and the outcome of bone grafts for unilateral alveolar cleft. To determine the absorption of the bone graft in patients with unilateral cleft, computer-aided engineering (CAE) with multi-detector row computed tomography (MDCT) was used. MDCT scans of 29 patients were taken immediately preoperatively and at 1 month and 6 months postoperatively. The patients underwent bone grafting between 8 and 14 years of age using iliac crest bone grafts. Three-dimensional models were created in each period, and the defect at the alveolar cleft and volume of the bone graft were determined in each patient using CAE. Cleft volume and success of alveolar bone grafting were significantly correlated ( P < .01). Alveolar clefts with cleft palate required more bone volume than those without cleft palate ( P < .01), but the resorption rate did not significantly differ between alveolar clefts with and without cleft palate (0.48 ± 0.14 and 0.49 ± 0.18, respectively; P =.93). In conclusion, three-dimensional reconstruction of bone grafts using CAE based on MDCT provides a valuable objective assessment of graft volume.

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Majzner, Michał, and Andrzej Baier. "Computer Aided Analysis of Composite Structural Elements." Applied Mechanics and Materials 657 (October 2014): 765–69. http://dx.doi.org/10.4028/www.scientific.net/amm.657.765.

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The article presents a reflection on the definition of the feature, which enabled the development of feature-based method for modeling of composite structural components. The need for defining feature is a direct result of the ambiguity of statements or narrow definitions and their applications. So far are well developed feature, which are used in process design (CAD) - geometric feature, design feature and in the process of manufacturing (CAM) - Technology feature, and also focused on functionality (CAE - motion simulation) functional feature. The feature representation of a fully functioning feature-based system that does the aggregation of information about the structure of a construction object made from layered composites.. This approach is based on a single, independent feature representation that can be used for design, finite element analysis, technology process planning. The paper describes the main approach to the engineering analysis with the use of FEM and a convenient method of simplifying the geometry of the model and the composition of the composite. Also discussed are possible extensions to features to enhance the finite element meshing process.

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Pulko, S. H., and D. de Cogan. "Computer-aided thermal management of electronic networks and devices using TLM." Computer-Aided Engineering Journal 8, no. 3 (1991): 91. http://dx.doi.org/10.1049/cae.1991.0017.

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