Relevant bibliographies by topics / Mechanical engineering. Computer systems. Mechanics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Mechanical engineering. Computer systems. Mechanics'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Mechanical engineering. Computer systems. Mechanics"

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Thilmany, Jean. "Cell Mechanics." Mechanical Engineering 140, no. 04 (April 1, 2018): 38–43. http://dx.doi.org/10.1115/1.2018-apr-3.

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This article discusses various research works by engineering teams working on computer models that help explain the evolutionary dynamics of bone cancer. In order to investigate biological systems with a mechanical engineering approach, medical research teams are creating computerized mathematical models that have the potential to explain the mechanics of cancer. Researchers have found that mechanical signals can influence cancer cell migration, growth, and differentiation. Engineering models, such as the one simulating cancer immunotherapy, not only are visually striking, but also can help researchers better understand how cells respond to potential treatments. Researchers at the Center of Applied Molecular Medicine at the University of Southern California have developed two open source 3D simulation packages: BioFVM, which simulates diffusion of dozens of substrates in 3D tissues, and PhysiCell, which simulates multicellular systems in 3-D tissues. According to experts, differences between experimental information and model-returned information can also be resolved to better understand how metastasis works and, perhaps, fine-tune models.
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Carroll, M. M. "Foundations of Solid Mechanics." Applied Mechanics Reviews 38, no. 10 (October 1, 1985): 1301–8. http://dx.doi.org/10.1115/1.3143698.

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Solid mechanics is a basic discipline which supports much of the practice of mechanical and civil engineering, and contributes significantly to other engineering and scientific disciplines. Research in solid mechanics, at the foundational level, emphasizes comprehensive understanding and well-formulated analyses of mechanical phenomena occurring in engineering systems. The increasing availability of large computers has had a tremendous impact on the field. The traditional emphasis on analysis has shifted toward development of more realistic and detailed descriptions of material response, more efficient computational methodologies, and accurate numerical solution of initial and boundary value problems. Despite (or perhaps because of) this trend, theory and analysis must continue to play a vital role in modern solid mechanics. Solid mechanics is enriched by the increasing level of activity in interdisciplinary research. Within the field, there is a need for better communication and interaction between computation, experiment, and theory.
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Papalambros, P. Y. "Optimal Design of Mechanical Engineering Systems." Journal of Mechanical Design 117, B (June 1, 1995): 55–62. http://dx.doi.org/10.1115/1.2836471.

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The capability of mathematical optimization to support the mechanical design process is finally reaching wide recognition, as evidenced by significant applications in industry. The article reviews key issues and challenges for design optimization theorists and practitioners. Large scale system design and topology or configuration design are identified as the most important areas of future design optimization research. Some new approaches for partitioning large design problems and for topology optimization of multi-component structural systems are introduced.
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Gosselin, Clément M. "Adaptive Robotic Mechanical Systems: A Design Paradigm." Journal of Mechanical Design 128, no. 1 (August 19, 2005): 192–98. http://dx.doi.org/10.1115/1.2120781.

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This paper aims at developing a general framework for the use of the concept of adaptive mechanical system in the design of advanced robotic devices. The concept of adaptive mechanical system is first formalized. A design methodology is then proposed in order to formulate the associated design paradigm, based on the fundamental principles of mechanics. Finally, examples of adaptive robotic mechanical systems taken from the literature are presented in order to illustrate the application of the general design methodology.
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Neipp, Gerhard. "Computer-integrated mechanical engineering (CIME)." Robotics and Computer-Integrated Manufacturing 7, no. 1-2 (January 1990): 89–101. http://dx.doi.org/10.1016/0736-5845(90)90047-c.

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Kazakoff, Alexander. "Advances in Engineering Software for Lift Transportation Systems." Journal of Theoretical and Applied Mechanics 42, no. 1 (March 1, 2012): 3–22. http://dx.doi.org/10.2478/v10254-012-0001-4.

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Advances in Engineering Software for Lift Transportation Systems In this paper an attempt is performed at computer modelling of ropeway ski lift systems. The logic in these systems is based on a travel form between the two terminals, which operates with high capacity cabins, chairs, gondolas or draw-bars. Computer codes AUTOCAD, MATLAB and Compaq-Visual Fortran - version 6.6 are used in the computer modelling. The rope systems computer modelling is organized in two stages in this paper. The first stage is organization of the ground relief profile and a design of the lift system as a whole, according to the terrain profile and the climatic and atmospheric conditions. The ground profile is prepared by the geodesists and is presented in an AUTOCAD view. The next step is the design of the lift itself which is performed by programmes using the computer code MATLAB. The second stage of the computer modelling is performed after the optimization of the co-ordinates and the lift profile using the computer code MATLAB. Then the co-ordinates and the parameters are inserted into a program written in Compaq Visual Fortran - version 6.6., which calculates 171 lift parameters, organized in 42 tables. The objective of the work presented in this paper is an attempt at computer modelling of the design and parameters derivation of the rope way systems and their computer variation and optimization.
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Fernandes, Fábio A. O., Clauber Marques, Jovani Castelan, Daniel Fritzen, and Ricardo J. Alves de Sousa. "Learning Processes in Mechanics of Structures: Allying Analytical and Numerical Approaches." Education Sciences 10, no. 4 (April 20, 2020): 114. http://dx.doi.org/10.3390/educsci10040114.

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This paper reports pedagogical experiences and educational techniques in the field of Mechanics of Structures (Mechanical Engineering degree), resorting to computational tools. Several aspects are addressed, covering CAD (Computer-Aided Design) modelling systems to CAE (Computer-Aided Engineering) solutions, in terms of analysis and validation of mechanical resistance calculations. Therefore, structural mechanics fundamental concepts and mechanics of materials are also addressed. Particular focus is given on the development of curricula components related to Computer-Aided Design and Manufacturing. Doing so, three-dimensional structural modelling is applied to study the behaviour in selected simple case-studies where an external load is applied and the corresponding deflections are evaluated. Then, analytical and numerical analyses are performed and compared. During classes, patent aversion to solve analytical problems was clearly observed on the part of the students once calculus knowledge was required. The typical trend in engineering students, skipping the manual analytical methodology to solve a problem in order to go straight to numerical simulations via commercial Finite Element (FE) codes, was observed. The main focus of this work is, therefore, to determine the pedagogical effects of allying the analytical procedures and virtual simulators. It was possible to confirm the beneficial aspects of such methodology, considering that the regular engineering student has already a scientific basis on calculus and analytical process. Such knowledge will support mechanical project decisions, from model development to the analysis, and a sounding background to perform criticism of the results provided by the software.
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Wiechert, Bernd Udo. "Applied Biomechanics: Prosthetic and Orthopaedics." Proceeding International Conference on Science and Engineering 1 (October 31, 2017): xiii. http://dx.doi.org/10.14421/icse.v1.315.

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Biomechanics is closely related to engineering, because it often uses traditional engineering sciences to analyze biological systems. Some simple applications of Newtonian mechanics and/or materials sciences can supply correct approximations to the mechanics of many biological systems. Applied mechanics, most notably mechanical engineering disciplines such as continuum mechanics, mechanism analysis, structural analysis, kinematics and dynamics play prominent roles in the study of biomechanics. Usually biological systems are much more complex than man-built systems. Numerical methods are hence applied in almost every biomechanical study. Research is done in an iterative process of hypothesis and verification, including several steps of modeling, computer simulation and experimental measurements. Prosthetics and orthotics are clinical disciplines that deal with artificial limbs (prostheses) for people with amputations and supportive devices (orthoses) for people with musculoskeletal weakness or neurological disorders and some disability person. The development of prosthetics and orthotics disciplines is depend on development of science and engineering. The understanding of this multidiscipline field is important the advancement in this field. In this session i will overview the current development in prosthetics and orthotics field, expl ain a brief survey on its method, and discuss perspective for future trend and development.
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Perig, Alexander V., Alexander A. Kostikov, Violetta M. Skyrtach, Ruslan R. Lozun, and Alexander N. Stadnik. "APPLICATION OF JMODELICA.ORG TO TEACHING THE FUNDAMENTALS OF DYNAMICS OF FOUCAULT PENDULUM-LIKE GUIDED SYSTEMS TO ENGINEERING STUDENTS." Information Technologies and Learning Tools 62, no. 6 (December 30, 2017): 151. http://dx.doi.org/10.33407/itlt.v62i6.1926.

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The present educational research is focused on the solution of didactic problem of an engineering-friendly description and explanation of the dynamics and control of Foucault pendulum-like systems, which have arisen from practical problems of boom crane dynamics in lifting-and-handling machinery and transport. An educational actuality of the present research is grounded on the absence of a proper description and explanation of this topic in available textbooks and scientific articles in the fields of classical mechanics, control engineering, transport, lifting-and-handling machinery, engineering education, mechanical engineering education, and classical mechanics education. Among learning tools this article uses the following educational techniques: Modelica-assisted simulation with acausal equation-based freeware computer system JModelica.org with Optimica extension, physical simulation techniques, allegoric fairy tale analogy, didactic transposition method and a complex of individual Modelica-enhanced students’ computational assignments. The proposed educational approach provides a broadening of students’ ideas concerning the applicability of abstract physical concepts to the theory and practice of freeware-assisted mechanical engineering education of undergraduate and graduate students majoring in dynamics and control of guided lifting-and-handling machinery. Research finding, concepts and ideas of this research have found a practical educational application through the formulation of practical computational problems of term design works, planning of MSc degree students’ works, and freeware-enhanced curriculum of Donbass State Engineering Academy, Kramatorsk, Ukraine.
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Haug, E. J., K. K. Choi, J. G. Kuhl, and J. D. Wargo. "Virtual Prototyping Simulation for Design of Mechanical Systems." Journal of Mechanical Design 117, B (June 1, 1995): 63–70. http://dx.doi.org/10.1115/1.2836472.

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Developments in simulation technology that enable a qualitatively new virtual prototyping approach to design of mechanical systems are summarized and their integration into an engineering design environment is illustrated. Simulation tools and their enabling technologies are presented in the context of vehicle design, with references to the literature provided. Their implementation for design representation, real-time driver-in-the-loop simulation, dynamic performance simulation, dynamic stress and life prediction, maintainability analysis, design sensitivity analysis, and design optimization is outlined. A testbed comprised of computer aided engineering tools and a design level of fidelity driving simulator that has been developed to demonstrate the feasibility of virtual prototyping simulation for mechanical system design is presented. Two 1994 demonstrations of this capability for vehicle design are presented, to illustrate the state of the technology and to identify challenges that remain in making virtual prototyping simulation an integral part of mechanical system design in US industry.
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Dissertations / Theses on the topic "Mechanical engineering. Computer systems. Mechanics"

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Wu, Fei. "Parallel computational methods for constrained mechanical systems." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282561.

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Two methods suitable for parallel computation in the study of mechanical systems with holonomic and nonholonomic constraints are presented: one is an explicit solution based on generalized inverse algebra; the second solves problems of this class through the direct application of Gauss' principle of least constraint and genetic algorithms. Algorithms for both methods are presented for sequential and parallel implementations. The method using generalized inverses is able to solve problems that involve redundant, degenerate and intermittent constraints, and can identify inconsistent constraint sets. It also allows a single program to perform pure kinematic and dynamic analyses. Its computational cost is among the lowest in comparison with other methods. In addition, constraint violation control methods are investigated to improve integration accuracy and further reduce computational cost. Constrained dynamics problems are also solved using optimization methods by applying Gauss' principle directly. An objective function that incorporates constraints is derived using a symmetric scheme, which is implemented using genetic algorithms in a parallel computing environment. It is shown that this method is capable of solving the same cases of constraints as the former method. Examples and numerical experiments demonstrating the applications of the two methods to constrained multiparticle and multibody systems are presented.
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Feng, Chieh-Chuan. "Sliding control design and implementation on a single-link flexible arm." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA242714.

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Thesis (M.S. in Mechanical Engineering and Mechanical Engineer)--Naval Postgraduate School, December 1990.
Thesis Advisor(s): Chang, Liang-Wey. "December 1990." Description based on title screen as viewed on March 30, 2010. DTIC Identifier(s): Sliding Mode Control Systems, Sliding control Algorithms, Program Listings, Theses. Author(s) subject terms: Sliding Mode Control, Flexible Arm, Control of Flexible Arm, Uncertainty. Includes bibliographical references (p. 116). Also available in print.
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Yedeg, Esubalewe Lakie. "Control and design of engineering mechanics systems." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-76675.

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Chen, Joseph E. "An interactive computer tool for imprecise calculations in engineering systems." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/35018.

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Pearce, Jonathan P. (Jonathan Patrick) 1978. "Qualitative behavior prediction for simple mechanical systems." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86692.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
Includes bibliographical references (p. 55-56).
by Jonathan P. Pearce.
M.Eng.
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Bessent, Paul. "Structure Climbing Monkey Robot." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/508.

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This report describes the design, building, and testing of the Structure Climbing Monkey Robot (SCMR). It is composed of seven successive joints and linkages with two grippers at the two ends. Each gripper can act as the base or the end of the robot. The SCMR has the ability to climb any structure. The gripper plates can be changed to grab different kinds of structures, but this one is made to grab 2x4‘s. A program was written to assist the user to grab four non-coplanar, non-orthogonal points. The SCMR is actuated by a total of nine motors: two to open and close the two grippers and seven to control the movement of the SCMR. Planetary gear motors are used with a worm gear to control the motion of each joint. The worm gear increases the torque of the motor and reduces the rotational speed to a usable value. The SCMR is just over 45 inches long and weighs about 30 pounds. The motion of the SCMR is controlled by the microcontroller Arduino Mega 2560, Vex Robotic quadrature encoders, and Pololu 18v15 motor driver chips. Code was written in the languages Arduino and Processing to actuate the motors and create the GUI, respectively. The motors can be controlled individually or run simultaneously while incrementing a specified angle.
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Yedeg, Esubalewe Lakie. "Analysis, Control, and Design Optimization of Engineering Mechanics Systems." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-119978.

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This thesis considers applications of gradient-based optimization algorithms to the design and control of some mechanics systems. The material distribution approach to topology optimization is applied to design two different acoustic devices, a reactive muffler and an acoustic horn, and optimization is used to control a ball pitching robot. Reactive mufflers are widely used to attenuate the exhaust noise of internal combustion engines by reflecting the acoustic energy back to the source. A material distribution optimization method is developed to design the layout of sound-hard material inside the expansion chamber of a reactive muffler. The objective is to minimize the acoustic energy at the muffler outlet. The presence or absence of material is represented by design variables that are mapped to varying coefficients in the governing equation. An anisotropic design filter is used to control the minimum thickness of materials separately in different directions. Numerical results demonstrate that the approach can produce mufflers with high transmission loss for a broad range of frequencies. For acoustic devices, it is possible to improve their performance, without adding extended volumes of materials, by an appropriate placement of thin structures with suitable material properties. We apply layout optimization of thin sound-hard material in the interior of an acoustic horn to improve its far-field directivity properties. Absence or presence of thin sound-hard material is modeled by a surface transmission impedance, and the optimization determines the distribution of materials along a “ground structure” in the form of a grid inside the horn. Horns provided with the optimized scatterers show a much improved angular coverage, compared to the initial configuration. The surface impedance is handled by a new finite element method developed for Helmholtz equation in the situation where an interface is embedded in the computational domain. A Nitschetype method, different from the standard one, weakly enforces the impedance conditions for transmission through the interface. As opposed to a standard finite-element discretization of the problem, our method seamlessly handles both vanishing and non-vanishing interface conditions. We show the stability of the method for a quite general class of surface impedance functions, provided that possible surface waves are sufficiently resolved by the mesh. The thesis also presents a method for optimal control of a two-link ball pitching robot with the aim of throwing a ball as far as possible. The pitching robot is connected to a motor via a non-linear torsional spring at the shoulder joint. Constraints on the motor torque, power, and angular velocity of the motor shaft are included in the model. The control problem is solved by an interior point method to determine the optimal motor torque profile and release position. Numerical experiments show the effectiveness of the method and the effect of the constraints on the performance.
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Sturnick, Gerald R. "Integration of computer-aided design techniques into the mechanical product development process /." Online version of thesis, 1989. http://hdl.handle.net/1850/10477.

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Ask, Olsson Jacob, and Fredrik Dehlin. "Modelling and Simulation of Conservative Dynamical Systems by Computer Algebra Assisted Lagrangian Mechanics." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210793.

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Conservative dynamical systems is modelled with Lagrangian mechanics using Maple TM with the KTH developed plug-in symbolic package Sophia and simulated using Matlab®. Two double pendulum configurations and an object in a Keplerian orbit is studied. Motions and phase portraits are analysed, and numerical verifications of Kepler’s laws are performed. Properties concerning chaos is determined partly by examining sensitivity to initial conditions and it is shown that the 2D pendulum exhibits non-periodic behaviour whilst the 3D pendulum exhibits chaotic behaviour. Kepler’s laws are reproduced under certain assumptions. Finally, the applicability of Lagrangian mechanics when applied to conservative dynamical systems is evaluated.
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Cziulik, Carlos. "Development of a computer evaluation model for assessing mechanical systems conceptual design alternatives." Thesis, University of Surrey, 1998. http://epubs.surrey.ac.uk/843915/.

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The focus of this thesis is on the development of a conceptual design evaluation model that can be used in engineering design and can be implemented as a computer tool. A prerequisite to achieve this objective is a proper understanding of the initial phases of the design process, using an adequate framework. Hence, a brief examination of Theory of Technical Systems associated to a comprehensive study of the conceptual design stage, based on academic design methodologies and a survey amongst British industries, is presented. Additionally, evaluation issues at the early phases of design and a number of approaches for evaluating alternative solutions are investigated and relevant characteristics to be included in a prospective conceptual design evaluation model are compiled. A novel evaluation model based on function metrics has been proposed. The approach provides an intermediate evaluation, indicating which solutions have the potential to progress further in the design process The core of the model is the composition of evaluation matrices and computation of partial indices, which will originate an overall index used to classify the alternatives. The model assumes the existence of an explicit function structure on which the development of the organ/component structure is going to be based. A unique feature of this model is that it does not depend on designers' preferences or judgement in assigning values. From the formalised solution the designer has to identify which organ/component implements which function. An initial prototype of a computer tool (LiberSolutio), which embodies the above model, is presented. In addition to being an evaluation system, LiberSolutio can record the design history of the set of solutions generated for a particular functional decomposition/ structure. A preliminary evaluation of the model and computer system is also presented with conclusions drawn from the results obtained.
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Books on the topic "Mechanical engineering. Computer systems. Mechanics"

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Tzou, H. S. Precision Sensors, Actuators and Systems. Dordrecht: Springer Netherlands, 1992.

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Design Automation Conference (ASME) (16th 1990 Chicago, Ill.). Concurrent engineering of mechanical systems. New York, N.Y: American Society of Mechanical Engineers, 1990.

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Manuel F. O. Seabra Pereira. Computer-Aided Analysis of Rigid and Flexible Mechanical Systems. Dordrecht: Springer Netherlands, 1994.

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Paul, Fisette, ed. Symbolic modeling of multibody systems. Dordrecht: Kluwer Academic Publishers, 2003.

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Integrated computer-aided design of mechanical systems. London: Elsevier Applied Science Publishers, 1987.

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Daniels, B. K. Achieving Safety and Reliability with Computer Systems. Dordrecht: Springer Netherlands, 1987.

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American Society of Mechanical Engineers. Winter Meeting. Computer-aided engineering of energy systems. New York, N.Y: The Society, 1986.

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Martellucci, S. Laser Applications for Mechanical Industry. Dordrecht: Springer Netherlands, 1993.

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Joshi, Sanjay B. Computer control of flexible manufacturing systems: Research and development. Dordrecht: Springer Netherlands, 1994.

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CAD systems in mechanical and production engineering. Oxford: Heinemann Newnes, 1989.

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Book chapters on the topic "Mechanical engineering. Computer systems. Mechanics"

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Hetmańczyk, Mariusz Piotr, and Jerzy Świder. "Computer Aided Diagnosis and Prediction of Mechatronic Drive Systems." In Lecture Notes in Mechanical Engineering, 284–92. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04975-1_33.

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Vasantha, Gokula, Romana Hussain, Rajkumar Roy, and Jonathan Corney. "Requirements for Computer-Aided Product-Service Systems Modeling and Simulation." In Lecture Notes in Mechanical Engineering, 773–84. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1050-4_61.

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Filho, Nelson Duarte, Silvia Botelho, Marcos Bichet, Rafael Penna dos Santos, Greyce Schroeder, Ricardo Nagel, Danúbia Espíndola, and Carlos Eduardo Pereira. "Human Computer Interface (HCI) for Intelligent Maintenance Systems (IMS): The Role of Human and Context." In Lecture Notes in Mechanical Engineering, 215–27. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09507-3_20.

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Anatoly, Plakhteyev, Heorhii Zemlianko, and Vyacheslav Kharchenko. "Prototyping and Rapid Development of IoT Systems in Context of Edge Computing." In Integrated Computer Technologies in Mechanical Engineering, 257–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37618-5_23.

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Strilets, Viktoriia, Nina Bakumenko, Serhii Chernysh, Mykhaylo Ugryumov, and Volodymyr Donets. "Application of Artificial Neural Networks in the Problems of the Patient’s Condition Diagnosis in Medical Monitoring Systems." In Integrated Computer Technologies in Mechanical Engineering, 173–85. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37618-5_16.

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Hrybiuk, Olena. "Experience in Implementing Computer-Oriented Methodological Systems of Natural Science and Mathematics Research Learning in Ukrainian Educational Institutions." In Lecture Notes in Mechanical Engineering, 55–68. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79168-1_6.

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Meniailov, Ievgen, Mykhaylo Ugryumov, Dmytro Chumachenko, Kseniia Bazilevych, Sergiy Chernysh, and Iryna Trofymova. "Non-linear Estimation Methods in Multi-objective Problems of Robust Optimal Design and Diagnostics of Systems Under Uncertainties." In Integrated Computer Technologies in Mechanical Engineering, 198–207. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37618-5_18.

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Gulyi, Y. I., O. D. Nauchitel, O. M. Tynkov, and Y. M. Yakusheva. "Improvement of the Reliability of Speech Input Systems by Taking into Account the Emotional State of the Operator." In Integrated Computer Technologies in Mechanical Engineering, 471–81. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37618-5_40.

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Capponi, Vincent, and François Villeneuve. "Empowering CAPP Systems with Human-Computer Interaction Study." In Advances in Integrated Design and Manufacturing in Mechanical Engineering II, 385–97. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6761-7_26.

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Weber, Moritz, and Reiner Anderl. "Ontology-Based Calculation of Complexity Metrics for Components in CAD Systems." In Lecture Notes in Mechanical Engineering, 3–11. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_1.

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AbstractThe high complexity of assemblies and components in Computer-Aided Design (CAD) leads to a high effort in the maintenance of the models and increases the time required for adjustments. Metrics indicating the complexity of a CAD Model can help to reduce it by showing the results of changes. This paper describes a concept to calculate metrics aiming to describe the extent of complexity of components in CAD systems based on an ontology-based representation in a first step. The representation is initially generated from CAD models using an automated process. This includes both a boundary representation and the history of the feature-based design. Thus, the design strategy also contributes to measuring the complexity of the component so that the same shape can lead to different complexity metrics. Semantic rules are applied to find patterns of the design and to identify and evaluate various strategies. Different metrics are proposed to indicate the particular influence factors of complexity and a single measure for the overall complexity. Furthermore, the influencing factors can also be used to allow the designer to see how to reduce the complexity of the component or assembly.
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Conference papers on the topic "Mechanical engineering. Computer systems. Mechanics"

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"RAPID RESEARCH WITH COMPUTER ALGEBRA SYSTEMS." In Engineering Mechanics 2019. Institute of Thermomechanics of the Czech Academy of Sciences, Prague, 2019. http://dx.doi.org/10.21495/71-0-109.

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Seif, M. A. "Computer Aided Optimization of Mechanical Systems." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/cie1993-0060.

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Abstract Optimization is the ultimate goal of any design that aims to obtain a maximum gain out of a system at minimum expense within a framework of physical laws that restrict an absolute multi-aspect gains. The current paper presents a design methodology for optimum performance of mechanical systems. Design optimization problems have been classified based on the nature of the relation between the parameters and the restrictions imposed by virtue of operation conditions and the complexity of weighing the competitiveness of design objectives. Three classes of optimization problems are introduced: direct (explicit), interacting (implicit), and comparative (modeling). Examples of each class are given and suggested approaches to tackle the solutions are presented. These examples cover a wide range of applications in mechanical systems and would help clarify the overall framework of problem-solution schemes frequently encountered in the design of machine components.
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Manteufel, Randall D. "Experiences From Screencasting Engineering Mechanics Lectures." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13213.

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Screencasting is the simultaneous recording of a computer screen, audio narration, and possibly a video image included in a small portion of the screen. Instructors are beginning to screencast their lectures as an additional learning resource for students. Once produced, the files can be uploaded to an internet accessible site and reviewed by students. The author uses the Camtasia software running on a TabletPC, using Microsoft Journal. The software runs in the background on the Tablet during the lecture. After the lecture, the software can be used to edit the files and produce the lecture in a variety of internet-ready formats. The files can be uploaded into a course management system and linked for student access. This paper discusses the mechanics of screencasting, feedback from students, and an assessment of the effect on student performance.
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El Dessouki, Nazif, and Wahab. "A knowledge based scheme for computer aided mechanical engineering design." In IEEE International Conference on Systems Engineering. IEEE, 1989. http://dx.doi.org/10.1109/icsyse.1989.48668.

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Lankarani, Hamid M., Behnam Bahr, and Saeid Motavalli. "A Computer-Aided Environment for Analysis and Design of Mechanical Systems." In ASME 1991 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/cie1991-0052.

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Abstract This paper presents the description of an ideal tool for analysis and design of complex multibody mechanical systems. It is in the form of a general-purpose computer program, which can be used for simulation of many different systems. The generality of this computer-integrated environment allows a wide range of applications with significant engineering importance. No matter how complicated the mechanical system under consideration is, a numerical multibody model of the system is constructed. The governing mixed differential/algebraic equations of motion are automatically formulated and numerically generated. State-of-the-art numerical techniques and computational methods are employed and developed which produce in the response of the system at discrete time junctures. Postprocessing of the results in the form of graphical images or real-time animations provides an enormous aid in visualizing motion of the system. The analysis package may be merged with an efficient design optimization algorithm. The developed integrated analysis/design system is a valuable tool for researchers, design engineers, and analysts of mechanical systems. This computer-integrated tool provides an important bridge between the classical decision making process by an engineer and the emerging technology of computers.
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Pai, Uday N., and F. W. Liou. "Computer Prototyping of Moving Mechanical Parts." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/cie1995-0828.

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Abstract In this paper computer implementation of automated simulation of rigid bodies in collision is presented. It can be used for automatic simulation of unconstrained and/or constrained mechanical systems. The key tasks include feature extraction, collision detection, constraint identification, collision response, and simulation. Feature extraction includes volumetric feature extraction such as mass, volume, density and moment of inertia, and planar geometric feature extraction like the faces, edges, vertices and their inter-relationships. Collision detection is a kinematic problem involving the positional relationships of rigid bodies in space, while collision response is a dynamic problem involving the prediction of rigid body behavior according to physical laws. Case studies are used to explain the behavior of a typical system comprising of two rigid bodies to explain the underlying principles.
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Huang, Ledan. "Computer aided design of portable computer." In 2015 3rd International Conference on Mechanical Engineering and Intelligent Systems. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icmeis-15.2015.96.

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Kuzlyakina, Valentina V., and Marina V. Nagaeva. "Computer-Aided Laboratory Work to “Mechanism and Machine Science” Course." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34609.

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Laboratory work is an important element in engineering training, which should correspond to up-to-date tendencies in computer-based technologies in design, production, maintenance and preserving mechanisms. Computer-based laboratory work consists of 16 assignments. Seven assignments are carried out on laboratory stands, the remainder are provided on PC, using programs like “Visual Structure Editor”, “DYNAMO”, “APM Win Machine”. The system Visual Structure Editor (VSE) is designed by specialists of “Machine Mechanics and Computer-Aided Design” department, of the Maritime State University named after adm.G.I.NEVELSKOY, Vladivostok, under the direction of prof. Valentina V. Kuzlyakina. The system APM (Automated Projecting of Mechanism) is designed by the research-and-production centre “APM” under the direction of prof.V.Shelofast, from the city of Korolyov, Moscow area. These systems are multifunctional. They allow project different mechanical systems at the stage of structural and parametrical synthesis, carry out strength calculations and design elements of machines and mechanisms. They are good in operation. Teachers and students easily master the systems. Laboratory works with computer support allow students to pass from a concrete object to modeling on a PC, and to solve complex engineering tasks during the education process.
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Aliev, Yuksel, Vasil Kozov, Galina Ivanova, and Aleksandar Ivanov. "3D Augmented Reality Software Solution for Mechanical Engineering Education." In CompSysTech'17: 18th International Conference on Computer Systems and Technologies. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3134302.3134306.

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Yoshimura, Hiroaki. "On the Lagrangian Formalism of Nonholonomic Mechanical Systems." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84273.

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The paper illustrates the Lagrangian formalism of mechanical systems with nonholonomic constraints using the ideas of geometric mechanics. We first review a Lagrangian system for a conservative mechanical system in the context of variational principle of Hamilton, and we investigate the case that a given Lagrangian is hyperregular, which can be illustrated in the context of the symplectic structure on the tangent bundle of a configuration space by using the Legendre transformation. The Lagrangian system is denoted by the second order vector field and the Lagrangian one- and two-forms associated with a given hyperregular Lagrangian. Then, we demonstrate that a mechanical system with nonholonomic constraints can be formulated on the tangent bundle of a configuration manifold by using Lagrange multipliers. To do this, we investigate the Lagrange-d’Alembert principle from geometric points of view and we also show the intrinsic expression of the Lagrange-d’Alembert equations of motion for nonholonomic mechanical systems with nonconservative force fields.
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