Download or read book Design of Experiments DoE in Engine Development V written by Karsten Röpke and published by . This book was released on 2013-06-18 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of Experiments DoE in Engine Development written by Karsten Röpke and published by . This book was released on 2011 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of Experiments DOE in Engine Development III written by Karsten Röpke and published by . This book was released on 2007 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of experiments DoE in engine development written by Karsten Röpke and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of Experiments DoE in Engine Development written by Karsten Röpke and published by . This book was released on 2009 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of Experiments DoE in Engine Development II written by Karsten Röpke and published by . This book was released on 2005 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book DoE design of experiments written by and published by . This book was released on 2005 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fundamentals of Design of Experiments for Automotive Engineering Volume I written by Young J. Chiang and published by SAE International. This book was released on 2023-11-28 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where innovation and sustainability are paramount, Fundamentals of Design of Experiments for Automotive Engineering: Volume I serves as a definitive guide to harnessing the power of statistical thinking in product development. As first of four volumes in SAE International’s DOE for Product Reliability Growth series, this book presents a practical, application-focused approach by emphasizing DOE as a dynamic tool for automotive engineers. It showcases real-world examples, demonstrating how process improvements and system optimizations can significantly enhance product reliability. The author, Yung Chiang, leverages extensive product development expertise to present a comprehensive process that ensures product performance and reliability throughout its entire lifecycle. Whether individuals are involved in research, design, testing, manufacturing, or marketing, this essential reference equips them with the skills needed to excel in their respective roles. This book explores the potential of Reliability and Sustainability with DOE, featuring the following topics: - Fundamental prerequisites for deploying DOE: Product reliability processes, measurement uncertainty, failure analysis, and design for reliability. - Full factorial design 2K: A system identification tool for relating objectives to factors and understanding main and interactive effects. - Fractional factorial design 2RK-P: Ideal for identifying main effects and 2-factor interactions. - General fractional factorial design LK-P: Systematically identification of significant inputs and analysis of nonlinear behaviors. - Composite designs as response surface methods: Resolving interactions and optimizing decisions with limited factors. - Adapting to practical challenges with “short” DOE: Leveraging optimization schemes like D-optimality, and A-optimality for optimal results. Readers are encouraged not to allow product failures to hinder progress but to embrace the "statistical thinking" embedded in DOE. This book can illuminate the path to designing products that stand the test of time, resulting in satisfied customers and thriving businesses. (ISBN 9781468606027, ISBN 9781468606034, ISBN 9781468606041, DOI 10.4271/9781468606034)

Download or read book International Conference on Statistics and Analytical Methods in Automotive Engineering written by IMechE (Institution of Mechanical Engineers) and published by John Wiley & Sons. This book was released on 2002-11-22 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. This 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. CONTENTS INCLUDE Applications of advanced modelling methods in engine development Application of adaptive online DoE techniques for engine ECU calibration Radial basis functions for engine modelling Designing for Six Sigma reliability Dimensional variation analysis for automotive hybrid aluminium body structures Reliability-based multidisciplinary design optimization of vehicle structures

Download or read book Experimental Methods in Engine Research and Development written by Institution of Mechanical Engineers (Great Britain) and published by . This book was released on 1988 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automotive Data Analytics Methods and Design of Experiments DoE written by Clemens Gühmann and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimization of adaptive test design methods for the determination of steady state data driven models in terms of combustion engine calibration written by Sandmeier, Nino and published by Universitätsverlag der TU Berlin. This book was released on 2022-12-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis deals with the development of a model-based adaptive test design strategy with a focus on steady-state combustion engine calibration. The first research topic investigates the question how to handle limits in the input domain during an adaptive test design procedure. The second area of scope aims at identifying the test design method providing the best model quality improvement in terms of overall model prediction error. To consider restricted areas in the input domain, a convex hull-based solution involving a convex cone algorithm is developed, the outcome of which serves as a boundary model for a test point search. A solution is derived to enable the application of the boundary model to high-dimensional problems without calculating the exact convex hull and cones. Furthermore, different data-driven engine modeling methods are compared, resulting in the Gaussian process model as the most suitable one for a model-based calibration. To determine an appropriate test design method for a Gaussian process model application, two new strategies are developed and compared to state-of-the-art methods. A simulation-based study shows the most benefit applying a modified mutual information test design, followed by a newly developed relevance-based test design with less computational effort. The boundary model and the relevance-based test design are integrated into a multicriterial test design strategy that is tailored to match the requirements of combustion engine test bench measurements. A simulation-based study with seven and nine input parameters and four outputs each offered an average model quality improvement of 36 % and an average measured input area volume increase of 65 % compared to a non-adaptive space-filling test design. The multicriterial test design was applied to a test bench measurement with seven inputs for verification. Compared to a space-filling test design measurement, the improvement could be confirmed with an average model quality increase of 17 % over eight outputs and a 34 % larger measured input area. Diese Arbeit befasst sich mit der Entwicklung einer modellbasierten adaptiven Versuchsplanungsstrategie für die Anwendung in der Applikation des Stationärverhaltens von Verbrennungsmotoren. Der erste Forschungsteil untersucht, wie sich Grenzen im Eingangsraum in die Versuchsplanung eines adaptiven Prozesses einbinden lassen. Ein weiterer Fokus liegt auf der Identifikation einer modellbasierten Versuchsplanung, die eine bestmögliche Verbesserung der globalen Modellqualität hinsichtlich des Prädiktionsfehlers ermöglicht. Es wird ein Grenzraummodell auf Basis der konvexen Hülle unter Zuhilfenahme eines Algorithmus zur Bestimmung eines konvexen Konus entwickelt, das als Grundlage für eine Versuchsplanung in beschränkten Eingangsräumen verwendet wird. Um die Anwendbarkeit bei hochdimensionalen Problemstellungen zu gewährleisten, wird ein Verfahren vorgestellt, das eine Berechnung auch ohne die Bestimmung der exakten konvexen Hülle und konvexen Konen ermöglicht. Des Weiteren werden verschiedene Methoden zur datengetriebenen Modellbildung des Verbrennungsmotors verglichen, wobei das Gauß-Prozess Modell als die geeignetste Modellierungsmethode hervorgeht. Um die bestmögliche Versuchsplanungsmethode bei der Anwendung des Gauß-Prozess Modells zu ermitteln, werden zwei neue Strategien entwickelt und mit verfügbaren Methoden aus der Literatur verglichen. Eine simulationsbasierte Studie zeigt, dass eine angepasste Mutual Information Methode die besten Ergebnisse liefert. Ein neu entwickeltes relevanzbasiertes Verfahren erreicht die zweitbesten Ergebnisse, bietet aber einen geringeren Berechnungsaufwand als das Mutual Information Verfahren. Das Grenzmodell und das relevanzbasierte Verfahren werden in einem multikriteriellen Versuchsplanungsverfahren zusammengeführt, das an die Anforderungen von Messungen an einem Verbrennungsmotorenprüfstand angepasst ist. In einer simulationsbasierten Studie mit sieben bzw. neun Eingangsparametern und jeweils vier Ausgängen konnte eine durchschnittliche Modellqualitätsverbesserung von 36 % und eine mittlere Vergrößerung des vermessenen Eingangsraumvolumens von 65 % im Vergleich zu einer nichtadaptiven raumfüllenden Versuchsplanung gezeigt werden. Das multikriterielle Versuchsplanungsverfahren wurde anhand von Prüfstandsmessungen mit sieben Eingangsparametern verifiziert. Im Vergleich zu einer raumfüllenden Versuchsplanung konnte eine mittlere Modellqualitätsverbesserung über alle acht Ausgänge von 17 % und ein um 34 % vergrößertes vermessenes Eingangsraumvolumen erreicht werden, wodurch die Ergebnisse der Simulationen bestätigt werden konnten.

Download or read book Design of experiments written by S. A. Gothekar and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of Racing and High Performance Engines written by Joseph Harralson and published by SAE International. This book was released on 1995-02-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents, in a clear and easy-to-understand manner, the basic principles involved in the design of high performance engines. Editor Joseph Harralson first compiled this collection of papers for an internal combustion engine design course he teaches at the California State University of Sacramento. Topics covered include: engine friction and output; design of high performance cylinder heads; multi-cylinder motorcycle racing engines; valve timing and how it effects performance; computer modeling of valve spring and valve train dynamics; correlation between valve size and engine operating speed; how flow bench testing is used to improve engine performance; and lean combustion. In addition, two papers of historical interest are included, detailing the design and development of the Ford D.O.H.C. competition engine and the coventry climax racing engine.

Download or read book Fundamentals of Design of Experiments for Automotive Engineering written by Young J. Chiang and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Front Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acronyms -- Nomenclature -- Introduction -- Chapter 1: Reliability Deployment -- 1.1 Product Reliability Realization -- 1.1.1 Product Quality, Robustness, and Reliability -- 1.1.2 Realization Process of Product Reliability -- 1.1.3 Tools for Reliability Realization -- 1.1.4 Advanced Reliability Planning -- 1.1.5 Reliability Lauded in VOC -- 1.1.6 Product Reliability Growth -- 1.2 Uncertainty of Measurement -- 1.2.1 Accuracy: Precision and Trueness -- 1.2.2 Essential Elements of Measurement -- 1.3 Unreliability -- 1.3.1 Physical and Functional Failures -- 1.3.2 Probability of Product Failure -- 1.3.3 Failure Measured by Time -- 1.4 Design for Reliability -- 1.4.1 Reference Model and Simulation for System Identification -- 1.4.2 Boundary Diagram -- 1.4.3 Parameter Diagram (P-Diagram) -- 1.4.4 Fishbone Diagram -- 1.4.5 Variation Modes and Effect Analysis -- 1.5 Classification of DOE -- 1.5.1 Basic Types of DOE -- 1.5.2 Acceptance Sampling and Test Plans -- 1.5.3 Statistical Tolerance Design -- 1.5.4 Manufacturing Reliability -- 1.5.5 Supply Chain Reliability -- 1.5.6 Operational Reliability -- 1.5.7 Marketing Reliability -- 1.5.8 Holistic Approach -- 1.6 Software for DOE -- References -- Chapter 2: Full Factorial Design 2 K -- 2.1 Why DOE -- 2.1.1 Complete Search for Solution in the Multidomain -- 2.1.2 Tremendous Reduction in the Number of Experimental Tests -- 2.2 What Is DOE -- 2.2.1 Application for DOE -- 2.2.2 Experimental Design Process -- 2.2.3 History of DOE -- 2.3 Objective Function and Goals -- 2.3.1 Quantifiable and Achievable -- 2.3.2 RSM: Regression Using DOE -- 2.4 Factors -- 2.4.1 Types of Factors -- 2.4.2 Effects of Factors and Their Interactions -- 2.4.3 Selections-Doable and Controllable -- 2.4.4 Dimensionless Format -- 2.4.5 Design Contrasts and Effects.

Download or read book The Design and Analysis of Engine Mapping Experiments written by Timothy Holliday and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Application of Design of Experiments to Engine Performance Development written by J. Seabrook and published by . This book was released on 1997 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: