{"product_id":"international-conference-on-statistics-and-analytical-methods-in-automotive-engineering-isbn-9781860583872","title":"International Conference on Statistics and Analytical Methods in Automotive Engineering","description":"These IMechE conference transactions examine how major improvements have been made in product delivery processes by the effective use of both statistical and analytical methods, as well as examining the problems that can occur as a result of under utilization of information.  \u003cp\u003eThis volume will be of great interest to managers, engineers, and statisticians at all levels, engaged in project management or the design and development of motor vehicles, their subsystems, and components.\u003c\/p\u003e \u003cp\u003eCONTENTS INCLUDE\u003c\/p\u003e \u003cul\u003e \u003cli\u003eApplications of advanced modelling methods in engine development\u003c\/li\u003e \u003cli\u003eApplication of adaptive online DoE techniques for engine ECU calibration\u003c\/li\u003e \u003cli\u003eRadial basis functions for engine modelling\u003c\/li\u003e \u003cli\u003eDesigning for Six Sigma reliability\u003c\/li\u003e \u003cli\u003eDimensional variation analysis for automotive hybrid aluminium body structures\u003c\/li\u003e \u003cli\u003eReliability-based multidisciplinary design optimization of vehicle structures\u003c\/li\u003e \u003c\/ul\u003e Part 1 Engines: Bayesian statistics in engine mapping, \u003cbr\u003e\u003ci\u003eM.C. Ward et al\u003c\/i\u003e \u003cp\u003eApplications of advanced modelling methods in engine development, \u003cbr\u003e\u003ci\u003eJ. Seabrook et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eApplication of adaptive online DoE techniques for engine ECU calibration, \u003cbr\u003e\u003ci\u003eY. Raynaud et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eRadial basis functions for engine modelling, \u003cbr\u003e\u003ci\u003eT.M. Morton and S. Knott\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAn engine mapping case study - a two-stage regression approach, \u003cbr\u003e\u003ci\u003eD.W. Rose et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eApplication of a pareto-based evolutionary algorithm to fuel injection optimization, \u003cbr\u003e\u003ci\u003eO. Roudenko et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eA parametric inlet port design tool for multi-valve diesel engines, \u003cbr\u003e\u003ci\u003eM.C. Bates and M.R. Heikal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003ePractical application of DoE methods in the development of production internal combustion engines, \u003cbr\u003e\u003ci\u003eK. Roepke et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eA model and methodology used to assess the robustness of vehicle emissions and fuel economy characteristics, \u003cbr\u003e\u003ci\u003eP.J. Shayler et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eThe application of multivariate correlated techniques to driveability analysis, \u003cbr\u003e\u003ci\u003eS.G. Pickering et al\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003ePart 2 Vehicles, systems and components: experiencing customer vehicle comfort requirements using concept synthesis techniques, \u003cbr\u003e\u003ci\u003eD.J. Fothergill and M. Allman-Ward\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eDesigning for six sigma reliability, \u003cbr\u003e\u003ci\u003eD. Brunson et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eDimensional variation analysis for automotive hybrid aluminium body structures, \u003cbr\u003e\u003ci\u003eR. Koganti and M. Zaluzec\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReliability-based multidisciplinary design optimization of vehicle structures, \u003cbr\u003e\u003ci\u003eR.J. Yang et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAn analysis methodology for the simulation of vehicle pedestrian accidents, \u003cbr\u003e\u003ci\u003eN. Le Glatin et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eSensitivity of transmission noise and vibration to manufacturing and assembly process drift and variability, \u003ci\u003eS.M. Athervale et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eThe improvement of vehicle performance using predictive diagnostic algorithms, \u003cbr\u003e\u003ci\u003eL. Borgarello et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReliability modelling using warranty data, \u003cbr\u003e\u003ci\u003eI.F. Campean and D. Brunson\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eApplication of proportional hazard model to tyre design analysis, \u003cbr\u003e\u003ci\u003eV.V. Krivtsov et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eBetter understanding of automotive manufacturing reliability data using a spreadsheet-based model fitting tool, \u003cbr\u003e\u003ci\u003eM. Linsley et al\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAchieving robust designs through the use of \"design for Six Sigma\", \u003cbr\u003e\u003ci\u003eD. Mortimer\u003cbr\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/p\u003e  \u003cp\u003eThe \u003cstrong\u003eIMechE\u003c\/strong\u003e is the United Kingdom's qualifying body for mechanical engineers and the home of mechanical engineers for over 150 years. Around 75,000 engineers world-wide are members.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989446050021,"sku":"NP9781860583872","price":347.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781860583872.jpg?v=1761784130","url":"https:\/\/k12savings.com\/es\/products\/international-conference-on-statistics-and-analytical-methods-in-automotive-engineering-isbn-9781860583872","provider":"K12savings","version":"1.0","type":"link"}