Engineers Data Book

Author : Clifford Matthews
Publisher :
ISBN 13 :
Total Pages : 294 pages
Book Rating : 4.19/5 ( download)

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Download or read book IMechE Engineers' Databook written by Clifford Matthews and published by . This book was released on 2004-10-22 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a concise and useful source of up-to-date essential information for the student or practising engineer.

Author : Joseph R. Davis
Publisher : ASM International
ISBN 13 : 161503983X
Total Pages : 257 pages
Book Rating : 4.38/5 ( download)

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Download or read book Concise Metals Engineering Data Book written by Joseph R. Davis and published by ASM International. This book was released on 1997-01-01 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Clifford Matthews
Publisher : Wiley
ISBN 13 : 9781860582486
Total Pages : 238 pages
Book Rating : 4.86/5 ( download)

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Download or read book IMechE Engineers' Data Book written by Clifford Matthews and published by Wiley. This book was released on 2000-05-29 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Divided into 22 sections, this pocket-sized volume is an exhaustive 'quick reference' of up-to-date engineering data and rules. Contents: Essential Mathematics; Units; Engineering design Processes and Principles; Basic Mechanical Design; Motion; Mechanics of Materials; Material Failure; Thermodynamics; Fluid Mechanisms; Fluid Equipment; Pressure Vessels; Materials; Machine Elements; Design and Production Tools; Project Engineering; Computer-Aided Engineering; Welding; Non-Destructive Examination; Corrosion; Surface Protection; Metallurgical Terms; Engineering Associations and Organizations.

Author : Cliff Matthews
Publisher : Elsevier
ISBN 13 : 0080488285
Total Pages : 288 pages
Book Rating : 4.88/5 ( download)

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Download or read book Aeronautical Engineer's Data Book written by Cliff Matthews and published by Elsevier. This book was released on 2001-10-17 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aeronautical Engineer's Data Bookis an essential handy guide containing useful up to date information regularly needed by the student or practising engineer. Covering all aspects of aircraft, both fixed wing and rotary craft, this pocket book provides quick access to useful aeronautical engineering data and sources of information for further in-depth information. Quick reference to essential data Most up to date information available

Author : Jay Smith
Publisher :
ISBN 13 : 9781980619345
Total Pages : 168 pages
Book Rating : 4.44/5 ( download)

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Download or read book Engineers' Practical Databook written by Jay Smith and published by . This book was released on 2018-08-02 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This databook is an essential handbook for every engineering student or professional.Engineers' Practical Databook provides a concise and useful source of up-to-date essential formula, charts, and data for the student or practising engineer, technologist, applied mathematician or undergraduate scientist. Unlike almost all other engineering handbooks out there, this one doesn't package itself as a heavy, expensive or cumbersome textbook, and doesn't contain any preamble or lengthy chapters of 'filler' material. You will find value cover-to-cover with all the essential formula, charts, and materials data. This handbook is suitable for use in support of Higher Education programmes, including Higher National Diplomas and accredited engineering degrees. Topics include the essentials of aerospace, civil, electrical and electronic, mechanical and general engineering. Chapters include Mathematics, Materials, Mechanics, Structures, Machines and Mechanisms, Electrical and Electronics, Thermodynamics, Fluid Mechanics, Systems, and Project Management. First Edition is in SI Units. - Easy to use - Chapters organised by module/discipline topic - Physical, geometric, thermal, chemical and electrical properties - All variables and units clearly defined - Essential technical data

Author : Clifford Matthews
Publisher : John Wiley & Sons
ISBN 13 : 1119976227
Total Pages : 359 pages
Book Rating : 4.26/5 ( download)

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Download or read book Engineers' Data Book written by Clifford Matthews and published by John Wiley & Sons. This book was released on 2012-02-13 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENGINEERS’ DATA BOOK A completely revised and expanded fourth edition of this best-selling pocket guide. Engineers’ Data Book provides a concise and useful source of up-to-date essential information for the student or practising engineer. Updated, expanded edition Easy to use Handy reference guide Core technical data Clifford Matthews is an experienced engineer with worldwide knowledge of mechanical engineering.

Author : Texas Instruments Incorporated
Publisher :
ISBN 13 :
Total Pages : 362 pages
Book Rating : 4.49/5 ( download)

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Download or read book The TTL Data Book written by Texas Instruments Incorporated and published by . This book was released on 1984 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Steven L. Brunton
Publisher : Cambridge University Press
ISBN 13 : 1009098489
Total Pages : 615 pages
Book Rating : 4.89/5 ( download)

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Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Author : David C. Shallcross
Publisher : IChemE
ISBN 13 : 9780852954652
Total Pages : 66 pages
Book Rating : 4.54/5 ( download)

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Download or read book Physical Property Data Book written by David C. Shallcross and published by IChemE. This book was released on 2004 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Edward L. Robinson
Publisher : Princeton University Press
ISBN 13 : 0691169926
Total Pages : 408 pages
Book Rating : 4.27/5 ( download)

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Download or read book Data Analysis for Scientists and Engineers written by Edward L. Robinson and published by Princeton University Press. This book was released on 2016-10-04 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences and engineering. In-depth discussion of data analysis for scientists and engineers Coverage of both frequentist and Bayesian approaches to data analysis Extensive look at analysis techniques for time-series data and images Detailed exploration of linear and nonlinear modeling of data Emphasis on error analysis Instructor's manual (available only to professors)