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Relevant bibliographies by topics / Computer Aided Engineering (CAE)

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Academic literature on the topic 'Computer Aided Engineering (CAE)'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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

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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Computer Aided Engineering (CAE)"

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Hoyer, Markus. "Catalogue based computer aided engineering (CAE) of process models." Thesis, University of South Wales, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441212.

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Truong, Hai The 1962. "Management framework of automotive full service supplier in computer aided engineering (CAE)." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/91742.

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Bedingfield, Ralph Andrew. "Development of CAE system for switched motor drive systems." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10312009-020029/.

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Robertson, Stuart Sinclair. "Towards the development of a CAE facility for integrated control systems analysis and design." Thesis, University of Strathclyde, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366962.

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Baker, Tyson J. "Attribution Standardization for Integrated Concurrent Engineering." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd873.pdf.

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Young, Aaron J. "An Examination of Cultures of Innovation within Esoteric Technology Provider| A Look into Computer-Aided Engineering (CAE)." Thesis, Pepperdine University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10685521.

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The 1960’s space race in the United States gave rise to a unique culture of innovation embodied by an engineering class of professionals (Wisnioski, 2009). As knowledge workers, engineers were applying niche knowledge to solve big problems in the world (Kasdan, 1999). The result of their efforts in utilizing specific knowledge (i.e. esoteric knowledge) would become the basis for advanced development and production technology (Kasdan, 1999). One byproduct of this era is the advancement of engineering methods and computational mechanics (i.e. simulation) used to solve difficult, but semi-generalizable physics and engineering problems (Sinha, Paredis, Liang, & Khosla, 2001). However, sharing knowledge involved in engineering methods and esoteric knowledge (McMahon, Lowe, & Culley, 2004), as a whole, is difficult and a limiting factor in progressing similar large-scale, innovations (Alic, 1994). The response from organizations hoping to capitalize on developing esoteric technologies may turn to fostering a culture of innovation (Zairi and Al-Mashari, 2005). While research suggests innovation can be cultivated within an organization based on proposed frameworks and attributes (Crossan & Apaydin, 2010), an examination of lived-experiences of leaders, whose mission is to seek out the development of new esoteric technology, may provide rich insight into how cultures of innovation actually operate (Jucevi?ius, 2010). Therefore, this study proposes that a study of esoteric technology providers, beyond a contextual inquiry, may provide insights into how cultures of innovation may lead to new breakthroughs in technology and possibly an enabler to the next space race.

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Virk, Gurmej Singh. "A computer-aided learning and design system for control engineering." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364270.

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Söderberg, Jakob. "CAE of Gas Turbine Combustor Chamber : Improving workflow in product lifecycle management systems." Thesis, Linköpings universitet, Maskinkonstruktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168687.

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This thesis seeks to improve the workflow in the product development process when using the Product Lifecycle Management (PLM) system PLM2020, incorporated at Siemens Energy. Focus is on three problem cases that emerge when working with Computer Aided Engineering (CAE) data during the development process. Apart from solving these problems, a current situation analysis was conducted, and possible solutions of these problems were investigated on how they affect the lead time in the product development process. The problems consist of exploration of an unused function and solving of two problematic situations that can occur while using PLM2020 during development work. A case study was established to investigate the problems, using participatory observations and interviews. The interviews established the current situation of Siemens work methodology to handle these situations and how PLM2020 is used. During the observations, the problems were attempted to be solved using an arbitrary Computer Aided Design (CAD) model while exploring different functions in a sandbox environment. During the interviews, it was discovered that there exist different ways of working in PLM2020 and that some approaches nullifies the benefits of using a PLM system. The participatory observations revealed that that there exist functions in the PLM system that solves the problems encountered. A set of proposed solutions are presented to Siemens

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Sintay, Stephen D. "Object Oriented CAE Software for the Exploration and Design of Microstructures." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1117.pdf.

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Delépine, Baudoin. "Computer-aided design (CAD) tools for bioproduction and biosensing pathway engineering." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLE032/document.

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Les récentes avancées en biologie des systèmes et en biologie synthétique contribuent déjà au fleurissement d'applications en ingénierie métabolique visant une bioproduction renouvelable de composés chimiques. Nous pouvons entrevoir un futur où des microbes serait conçus à la carte afin de valoriser n'importe quelle source de carbone en n'importe quel composé d'intérêt. Si la route est longue avant l'accomplissement d'un tel objectif, son parcours devrait en être grandement facilité par l'exploitation de méthodes d'ingénierie déjà éprouvées dans d'autres disciplines. On s'attend entre autre à ce que l'utilisation de logiciels de Conception Assistée par Ordinateur (CAO) diminue le temps et l’expertise nécessaires à la construction de voies métaboliques n'existant pas dans la nature. La première partie de cette thèse est dédiée à notre méthode de prédiction de voies métaboliques et à ses implémentations. Nous décrivons tout particulièrement RetroPath2.0, un outil de prédiction de réseaux de réactions mettant l'accent sur les applications de rétrosynthèse, et qui est construit pour être facilement extensible par la communauté. Dans la seconde partie, nous détaillons l'intérêt des biosenseurs intracellulaires pour l'ingénierie métabolique et introduisons SensiPath; une application web qui exploite un outil de prédiction de réactions pour concevoir des circuits métaboliques permettant la biodétection de composés pour lesquels aucun biosenseur direct n'est connu. Dans l'ensemble, cette thèse propose que les outils de bioCAO devraient permettre de révéler la créativité de leurs utilisateurs et encourager l'exploration de nouvelles applications
Advances in systems and synthetic biology are fueling our ability to develop successful metabolic engineering applications for the sustainable production of bio-based chemicals. We can envision a future in which designer cells could be engineered to transform any carbon source into any target compound. This daunting task will be achieved by leveraging methods that proved themselves in other engineering disciplines. Among those, the use of Computer Aided Design(CAD) softwares is expected to reduce the amount of time and expert knowledge needed to design de novo metabolic pathways. The first part of this thesis is dedicated to our pathway prediction algorithm and its CAD implementations. Most notably, we will present RetroPath2.0, a versatile reaction network prediction framework focused on retrosynthesis that is built to be easily extensible by the community. In the second part, we will highlight the interest of intracellular biosensors for metabolic engineering and introduce SensiPath, a web application that uses a reaction prediction engine to design biosensing circuits for compounds for which no direct biosensors are known. Altogether, this thesis proposes that bioCAD tools should focus on empowering users’ creativity and encourage them to explore original applications

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Books on the topic "Computer Aided Engineering (CAE)"

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C, Smith Ian F., ed. Fundamentals of computer-aided engineering. Chichester: Wiley, 2003.

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University of Texas at Austin. Construction Industry Institute. Design Task Force., ed. CAD/CAE in the construction industry. Austin, Tex: Construction Industry Institute, University of Texas at Austin, 1989.

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CAD/CAE descriptive geometry. Boca Raton: CRC Press, 1992.

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T, Leondes Cornelius, ed. Computer-aided design/engineering (CAD/CAE) techniques and their applications. San Diego: Academic Press, 1993.

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CAE: A survey of standards, trends, and tools. New York: Wiley, 1990.

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Lee, Kunwoo. Principles of CAD/ CAM/ CAE systems. Reading, MA: Addison-Wesley, 2003.

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Principles of CAD/CAM/CAE systems. Reading, Mass: Addison-Wesley, 1999.

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Milner, D. A. Computer-aided engineering for manufacture. London: Kogan Page, 1986.

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C, Vasiliou V., ed. Computer-aided engineering for manufacture. New York: McGraw-Hill, 1987.

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W, Crawford George, Preston Edward J. 1947-, and Preston Edward J. 1947-, eds. CAD/CAM/CAE systems: Justification, implementation, productivity measurement. 2nd ed. New York: M. Dekker, 1993.

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Book chapters on the topic "Computer Aided Engineering (CAE)"

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Bi, Zhuming. "Computer-Aided Engineering (CAE)." In Practical Guide to Digital Manufacturing, 117–222. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70304-2_3.

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Woyand, Hans-Bernhard, and Herbert Heiderich. "Geometrieorientierte FEM / Computer Aided Engineering." In I-DEAS Praktikum CAE/FEM, 97–147. Wiesbaden: Vieweg+Teubner Verlag, 1999. http://dx.doi.org/10.1007/978-3-322-92877-1_3.

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Stark, Rainer. "Major Technology 4: Computer Aided Engineering—CAE." In Virtual Product Creation in Industry, 185–221. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64301-3_10.

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James, A. J. "Specification and Evaluation of Computer Aided Engineering (CAE) Systems." In Engineering Software IV, 25–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-21877-8_3.

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Encarnação, José L., Rolf Lindner, and Ernst G. Schlechtendahl. "Engineering Methods of CAD." In Computer Aided Design, 275–349. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84054-8_6.

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Sirinterlikci, Arif, and Yalcin Ertekin. "Computer-Aided Engineering (CAE) and Industrial Internet of Things (IIoT)." In A Comprehensive Approach to Digital Manufacturing, 221–50. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25354-6_8.

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Tian, Zhuo, Changyou Zhang, and Jiaojiao Xiao. "A Graph-Based Efficient Service Composition Method for Computer Aided Engineering (CAE)." In Computer Supported Cooperative Work and Social Computing, 405–10. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2356-4_32.

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Milner, D. A., and V. C. Vasiliou. "The integration of CAD and CAM." In Computer-Aided Engineering for Manufacture, 133–52. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-6912-7_6.

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Herzwurm, Georg. "Existierende wissensbasierte Systeme im Computer Aided Software Engineering." In Wissensbasiertes CASE, 125–91. Wiesbaden: Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-86446-8_5.

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Morsi, Yos S., Amal Ahmed Owida, Hung Do, Md Shamsul Arefin, and Xungai Wang. "Graft–Artery Junctions: Design Optimization and CAD Development." In Computer-Aided Tissue Engineering, 269–87. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-764-4_16.

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Conference papers on the topic "Computer Aided Engineering (CAE)"

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ARBOCZ, J., and J. HOL. "SHELL STABILITY ANALYSIS IN A COMPUTER AIDED ENGINEERING (CAE) ENVIRONMENT." In 34th Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-1333.

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Schonning, Alexandra, and Daniel Cox. "Enhancing Undergraduate Mechanical Engineering Education With Computer Aided Engineering." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84508.

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This paper addresses the importance of integrating Computer Aided Engineering (CAE) software and applications in the mechanical engineering curriculum. Computer aided engineering tools described include Computer-Aided Design, Computer-Aided Manufacturing, and Computer-Aided Analysis tools such as finite element (FE) modeling and analysis. The integration of CAE software tools in the curriculum is important for three primary reasons: it helps students understand fundamental engineering principles by providing an interactive and visual representation of concepts, it provides students an opportunity to explore their creative ideas and designs while keeping prototyping costs to a minimum, and it teaches students the valuable skill of more efficiently designing, manufacturing and analyzing their products with current technology making them more marketable for their future engineering careers. While CAE has been used in the classroom for decades, the mechanical engineering program at the University of North Florida is making an aggressive effort in preparing the future engineering workforce through computer-aided project-centered education. The CAE component of this effort includes using CAE software when teaching stress, strain, dynamics, kinematics, vibrations, finite element modeling and analysis, design and design for manufacturing, manufacturing and technical communication concepts. This paper describes CAE projects undertaken in several of the mechanical engineering courses at UNF in an effort to share creative teaching techniques for others to emulate.

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Cramer, David, Uma Jayaram, and Sankar Jayaram. "A Collaborative Architecture for Multiple Computer Aided Engineering Applications." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34498.

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In this paper, we describe the need, design, and implementation of a Collaborative Architecture. The Collaboration Architecture addresses the need for multiple Computer Aided Engineering applications to exchange data packets directly with each other in an effort to decrease the design cycle time. This architecture incorporates three components in its design, a server, a controller, and multiple members. The members generate and use the data packets. The server maintains and distributes the data packets between the members. The controller component determines which CAE users are generating or using which data sets. The member component has been implemented with three subcomponents, a pusher application, a receiver application, and the CAE application which uses / generates the data packets. For the local member communication, the Collaborative Architecture uses shared memory. For inter-component communication, the architecture uses CORBA. Finally, this paper describes the implementation of two Computer Aided Applications, Dv/Mockup and an Immersive Virtual Design Environment.

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Nikolic, Vojin. "Use of SDRC I-DEAS in Teaching Computer Aided Engineering." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34415.

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In recent years the author has been developing and teaching computer aided engineering courses using the Pro/ENGINEER and I-DEAS software systems. This has been a very demanding yet highly rewarding endeavor. The paper discusses one such CAE course. In a semester long I-DEAS-based course the students are brought from the basics to a level where they are comfortable tackling typical real life engineering, both design and analysis, projects which require use of high end software for computer aided engineering. The benefits to the students of taking such a CAE I-DEAS-based course are discussed.

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Schonning, Alexandra, and Daniel Cox. "Industry-Academia Computer Aided Engineering Undergraduate Research Projects." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99069.

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Florida’s First Coast Manufacturing Innovation Partnership (MIP), sponsored by the National Science Foundation (NSF), promotes collaboration between academia and local industry members by providing a shared resource center. The local industry provides the university with research opportunities for its undergraduate students in areas of mechanical engineering design, manufacturing, and analysis and the university provides the local industry with technical resources. This paper outlines how this collaborative effort is structured, what types of projects are undertaken, and what the benefits are to academia, industry, and society in general. In particular, the paper describes three computer aided engineering (CAE) projects, addresses how these industry-academia projects help achieve the goals of the MIP program, and how these projects help improve the CAE skills of the future workforce.

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Nonaka, Norihiko, and Ichirou Nishigaki. "An Automatic Technique for CAE Analysis With a 3D-CAD Model." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34486.

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A CAE (computer-aided engineering) analysis system, consisting of a 3D-CAD (three-dimensional computer-aided design) modeler, a pre-processor, an analysis solver, and a post-processor, was developed. This system uses automated procedures for solid modeling, definition of analysis models (i.e., defining boundary conditions and material properties, traditionally done manually), mesh generation, numerical simulation, and visualization of results. The CAE analysis system has two key features: it can greatly reduce the analysis time, and it uses a 3D-CAD model as the geometric model for numerical analysis. It was found that the developed automatic system reduces the analysis time by 50% compared with that for manual operation.

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Na Liu and Guoxiang Li. "Application of CAE technology to internal combustion engine engineering." In 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design 1. IEEE, 2010. http://dx.doi.org/10.1109/caidcd.2010.5681922.

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Glance, Patrick. "Computer-Aided Engineering of Seal Structures." In Passenger Car Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1986. http://dx.doi.org/10.4271/861394.

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Lu, Min. "CAE in Automotive Engine Mount Development." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38741.

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The desire for more quiet and comfortable cars from consumers requires better engineering in the process of engine mount development. The fact that no physical vehicle exists at the time when the project launches, the design guidance relying on computer-aided engineering is essential. This paper discusses an engine mount development approach relying on computer-aided engineering with the assumption that the initial powertrain data, which include the powertrain mass, mass center, mass moment of inertia and engine power, are available. The mount placement strategy is discussed after the torque roll axis is introduced. To achieve the decoupled vibration modes for the mounting system, the computer simulated powertrain rigid body modal analysis is employed. As a result, the mount linear portion of the load-deflection curve is determined while the nonlinear portion is chosen by static analysis, whose constraint is the maximum powertrain roll angle under the condition of the maximum torque input. Also, the reaction forces in the three orthogonal directions are able to be estimated under the various loading conditions which reflect the vehicle driving conditions. Finally, finite element analysis is employed in the designs of the metallic and rubber components to meet the durability and performance requirements.

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Wang, Yaou, Chris Nault, Matthew Givens, Micah Threadgill, Seth Berry, Haitao Zhang, and Ke Li. "Automation CAE Toolkit Method for Ram BOP Design." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23769.

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Abstract A Blowout Preventer (BOP) serves as a safety valve in the drilling process in the oil and gas industry. It will be closed if an influx of formation fluids occurs and threatens the rig. A Ram BOP is one type of widely used BOP. It is composed of two ram blades, which will move towards each other to shear the drilling pipe and to close the valve. To ensure the shearing process be completed on the rig, lab tests are often run to evaluate the BOP’s capability and the required shearing pressure. The paper presents a new automation CAE (Computer-Aided Engineering) toolkit method recently developed to simulate the Ram BOP pipe shearing process. The toolkit method automates and integrates the process from computer aided design (CAD) to computer aided simulation for the Ram shearing process. It significantly simplifies the modeling effort and facilitates the design optimization process.

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Reports on the topic "Computer Aided Engineering (CAE)"

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Humphrey, Watts S. CASE (Computer-Aided Software Engineering) Planning and the Software Process. Fort Belvoir, VA: Defense Technical Information Center, May 1989. http://dx.doi.org/10.21236/ada219066.

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Hartman, Joseph P., John J. Jaeger, John J. Jobst, Deborah K. Martin, and James Bigham. Computer-Aided Structural Engineering (CASE) Project. User's Guide: Pile Group Analysis (CPGA) Computer Program. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada212544.

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Kosut, Robert L., and M. Vidyasagar. COMPUTER-Aided-Control Engineering (CACE) PRimitives for Robust and Adaptive control Systems. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada192446.

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Price, William A., and Edwin S. Alling. Computer-Aided Structural Engineering (CASE) Project. CBASIN--Structural Design of Saint Anthony Falls Stilling Basins According to Corps of Engineers Criteria for Hydraulic Structures. Computer Program X0098. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada212545.

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Andriole, S. Computer-Aided Systems Engineering. Version 01.00.00. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada283230.

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Vemuri, Ranga. Computer Aided Engineering for Reconfigurable Computing (CAERC). Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada402967.

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Lamb, Joshua. Advanced tool for computer aided battery engineering (SNL). Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1483463.

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Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.

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Abstract:

The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management system and COGNOS Corporations POWERHOUSE 4th generation language. This paper addresses the need for, and the advantages of using a strong engineering approach to data modeling and describes the use of the NIAM methodology in NGIS development. The paper identifies the relationship between the data mode!, data structures, the design and development of a database and the use of automated tools for systems development. In conclusion, critical success factors for the continuation of the N.G.I.S. developments are identified and the benefits that will accrue are enumerated.

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Pesaran, Ahmad, Chuanbo Yang, Shriram Santhanagopalan, Gi-Heon Kim, Kandler Smith, and Andreas Vlahinos. Developing Battery Computer Aided Engineering Tools for Military Vehicles. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada601037.

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Smith, Mike, and Swee Leong. Computer-Aided Manufacturing Engineering Forum, first technical meeting proceedings. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5699.

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