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The first of its kind in the UK, the IMA conference on Mathematics in the Automotive Industry was intended to expose typical theoretical problems in this industry and the role that mathematics can play in their solution. The selected papers presented here emphasize the involvement ofengineering science and mathematical modelling in solving problems which arise from complex engineering situations. The automotive industry is concerned crucially with highly practical questions that need answers quickly. The analysis of vehice dynamics and control by automatic software generation and using algebraic manipulation codes is reviewed. Problems of current interest discussed include applying control theory to four-wheel steer, active and semi-active suspensions, continuously variable transmission, anddynamometer control. Further chapters review the modelling of acoustical phenomena in the context of automotive noise due to the engine and tyres. Others discuss the digital computer-induced changes in how the stylist's conception of a car is translated into actual panels and the mathematical definition of surfacefeatures such as pockets, channels, and ribs. Later, there are chapters on the accurate and realistic prediction of air-flow rate, temperature, and flow characteristics to aid engine design; the simulation of flame propagation and knock; and using component models to predict vehicle heating and cooling. The final four chapters discuss finite element analysis of anisotropic deformation and its use in, for example, analysing pressing or stamping operations; the sophisticated thermomechanical modelling of electrical components; and using well-tried algorithms to predict fatigue, and thus producenon-failing components.
Math for Automotive Technicians is designed to help you learn and apply basic math skills. The first part of the text provides 12 lessons that develop a mastery of basic math skills in the context of automotive service. Coverage includes whole number operations, decimals, greater than/less than, tape measure fractions, conversion, graphs and tables, formulas, measurement, and comparing to specifications. The second part consists of 96 case studies that apply and extend the basic math skills with actual vehicle procedures, data, and specifications. For ease of integration with curricula based on the NATEF standards, the case studies are grouped into automotive service areas, such as chassis systems, engine mechanical, electrical, etc. Answers to odd-numbered practice problems are listed in the back of the text. Math for Automotive Technicians is well-suited for use as either the core text in a dedicated applied math course or a supplemental text in an automotive technology program.
Industrial mathematics is a fast growing field within the mathematical sciences. It is characterized by the origin of the problems which it engages; they all come from industry: research and development, finances, and communications. The common feature running through this enterprise is the goal of gaining a better understanding of industrial models and processes through mathematical ideas and computations. The authors of this book have undertaken the approach of presenting real industrial problems and their mathematical modeling as a motivation for developing mathematical methods that are needed for solving the problems. With each chapter presenting one important problem that arises in today's industry, and then studying the problem by mathematical analysis and computation, this book introduces the reader to many new ideas and methods from ordinary and partial differential equations, and from integral equations and control theory. It brings the excitement of real industrial problems into the undergraduate mathematical curriculum. The problems selected are accessible to students who have already taken what in many colleges and universities constitutes the first two-year basic Calculus sequence. A working knowledge of Fortran, Pascal, or C language is required.
Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. - Focuses on recent research in mathematics applications for Industry 4.0 - Provides insights on international and transnational scales - Identifies mathematics knowledge gaps for Industry 4.0 - Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research
This book results from the talks presented at the First Conference on Transfer between Mathematics & Industry (CTMI 2019). Its goal is to promote and disseminate the mathematical tools for Statistics & Big Data, MSO (Modeling, Simulation and Optimization) and their industrial applications. In this volume, the reader will find innovative advances in the automotive, energy, railway, logistics, and materials sectors. In addition, Advances CTMI 2019 promotes the opening of new research lines aiming to provide suitable solutions for the industrial and societal challenges. Fostering effective interaction between Academia and Industry is our main purpose with this book. CTMI conferences are one of the main forums where significant advances in industrial mathematics are presented, bringing together outstanding leaders from business, science and Academia to promote the use of mathematics for an innovative industry.
This is a general interest trade book that describes the development of automotive technology and engineering from the start of the industry before 1900 to the present day. It explains how various systems and elements in the automobile work in layman's terms, without resorting to mathematics, and highlights the keymilestones in the historical development of automotive technology. All photos and illustrations are in full color. The intended audience is older teens to adults of any age who are interested in the subject and may be involved in it as a hobby. Sometimes referred to as "gearheads" or "motorheads," they form a huge market. Over the years many of the author's engineering students were in this category, and he often would meet with on-campus car clubs to explain the way things automotive worked, being careful to damp down or eliminate any complicated mathematics, as he does in this book. An Internet search found only titles that are either "hard-engineering oriented" -- such as publications from the Society of Automotive Engineers (SAE) -- or mere compendiums of dates. Books in the latter category note the milestones but without hardly any explanation at all of how these developments actually work in a technical sense - which is the aim of this book.
This is the eighth volume in the series "Mathematics in Industrial Prob lems." The motivation for these volumes is to foster interaction between Industry and Mathematics at the "grass roots level"; that is, at the level of specific problems. These problems come from Industry: they arise from models developed by the industrial scientists in ventures directed at the manufacture of new or improved products. At the same time, these prob lems have the potential for mathematical challenge and novelty. To identify such problems, I have visited industries and had discussions with their scientists. Some of the scientists have subsequently presented their problems in the IMA Seminar on Industrial Problems. The book is based on the seminar presentations and on questions raised in subsequent discussions. Each chapter is devoted to one of the talks and is self-contained. The chapters usually provide references to the mathematical literature and a list of open problems that are of interest to industrial scientists. For some problems, a partial solution is indicated briefly. The last chapter of the book contains a short description of solutions to some of the problems raised in the previous volume, as well as references to papers in which such solutions have been published.
Industrial Mathematics is a relatively recent discipline. It is concerned primarily with transforming technical, organizational and economic problems posed by indus try into mathematical problems; "solving" these problems byapproximative methods of analytical and/or numerical nature; and finally reinterpreting the results in terms of the original problems. In short, industrial mathematics is modelling and scientific computing of industrial problems. Industrial mathematicians are bridge-builders: they build bridges from the field of mathematics to the practical world; to do that they need to know about both sides, the problems from the companies and ideas and methods from mathematics. As mathematicians, they have to be generalists. If you enter the world of indus try, you never know which kind of problems you will encounter, and which kind of mathematical concepts and methods you will need to solve them. Hence, to be a good "industrial mathematician" you need to know a good deal of mathematics as well as ideas already common in engineering and modern mathematics with tremen dous potential for application. Mathematical concepts like wavelets, pseudorandom numbers, inverse problems, multigrid etc., introduced during the last 20 years have recently started entering the world of real applications. Industrial mathematics consists of modelling, discretization, analysis and visu alization. To make a good model, to transform the industrial problem into a math ematical one such that you can trust the prediction of the model is no easy task.
This book describes the contributions of mathematics to the nation's advanced technology and to economic competitiveness. Examples from five industriesâ€"aircraft, petroleum, automotive, semiconductor, and telecommunicationsâ€"illustrate how mathematics enters into and improves industry. Mathematical Sciences, Technology, and Economic Competitiveness addresses these high-technology industries and breadth of mathematical endeavors in the United States as they materially contribute to the technology base from which innovation in these industries flows. The book represents a serious attempt by the mathematics community to bring about an awareness by policymakers of the pervasive influence of mathematics in everyday life.
This book is the “Study Book” of ICMI-Study no. 20, which was run in cooperation with the International Congress on Industry and Applied Mathematics (ICIAM). The editors were the co-chairs of the study (Damlamian, Straesser) and the organiser of the Study Conference (Rodrigues). The text contains a comprehensive report on the findings of the Study Conference, original plenary presentations of the Study Conference, reports on the Working Groups and selected papers from all over world. This content was selected by the editors as especially pertinent to the study each individual chapter represents a significant contribution to current research.