Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems

Bibliographic Details
Main Author: Agarwal, Kuldeep
Language:English
Published: The Ohio State University / OhioLINK 2011
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1322152146
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu13221521462021-08-03T06:04:18Z Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems Agarwal, Kuldeep Industrial Engineering Complex Engineered Systems Metal Forming Bayesian Hierarchical Modeling Steel Bar Manufacturing Aeroengine Disk Manufacturing <p>Manufacturing processes like aeroengine manufacturing, sheet manufacturing or rod manufacturing are examples of complex engineered systems because they have many interconnected components and there is little knowledge about the interactions between these different components. These processes consist of a raw material in the form of powder or a preform (pre-manufactured shape) which is an input from another manufacturing process and through a series of steps, converts it into a product. These manufacturing processes are designed and operated to achieve a specific goal: the final quality of the product being output from that process.</p><p>The current design cycle for these different manufacturing processes treats the different system components (sub-processes) in isolation. Each engineer and personnel looks at the problem in his own perspective and optimizes the solution pertaining to the requirements or specifications of his particular department or sub-process only.This approach leads to a non-optimal design and lot of variation in the quality attributes.</p><p>To overcome these limitations, a new approach and methodology for the design of these systems is presented in this dissertation. This methodology decomposes the quality attribute into the various factors which affect it and determine its value. These factors are further decomposed into the physical phenomena which cause these factors to affect the quality attribute. The physical phenomena are finally decomposed into the manufacturing processes and material uncertainties which cause them to influence the quality attributes.Interdependencies are determined between the different sub-processes and only those sub-processes are concentrated on which affect the quality attributes. </p><p>Novel approach of combining process models with the data obtained by testing sensors is developed through the use of Bayesian Hierarchical modeling. Case studies involving sheet, rod and aeroengine manufacturing are demonstrated. The developed Bayesian models are used in designing these processes for improved quality.</p> 2011-12-16 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1322152146 http://rave.ohiolink.edu/etdc/view?acc_num=osu1322152146 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Industrial Engineering
Complex Engineered Systems
Metal Forming
Bayesian Hierarchical Modeling
Steel Bar Manufacturing
Aeroengine Disk Manufacturing
spellingShingle Industrial Engineering
Complex Engineered Systems
Metal Forming
Bayesian Hierarchical Modeling
Steel Bar Manufacturing
Aeroengine Disk Manufacturing
Agarwal, Kuldeep
Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems
author Agarwal, Kuldeep
author_facet Agarwal, Kuldeep
author_sort Agarwal, Kuldeep
title Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems
title_short Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems
title_full Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems
title_fullStr Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems
title_full_unstemmed Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems
title_sort physics based hierarchical decomposition of processes for design of complex engineered systems
publisher The Ohio State University / OhioLINK
publishDate 2011
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1322152146
work_keys_str_mv AT agarwalkuldeep physicsbasedhierarchicaldecompositionofprocessesfordesignofcomplexengineeredsystems
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