Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/209940
Full metadata record
DC Field | Value | Language |
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dc.coverage.spatial | ||
dc.date.accessioned | 2018-07-31T06:53:46Z | - |
dc.date.available | 2018-07-31T06:53:46Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/209940 | - |
dc.description.abstract | There is growing demand from the industries for the development of new concepts and approach to meet the new challenges in the field of manufacturing engineering. Some research and improvements are always required in the present level of technology to achieve the demands of modern industrial world and customers. The fatigue failures of leaf springs, strength and weight reduction are primary concern at present. This work has been done using computer aided engineering analysis which is based upon a mathematical technique called finite element method. The component chosen for this purpose is leaf springs which find widespread application in the suspension systems of automotive vehicles. Leaf springs are consists of number of leaves that attach either a front axle or rear axle to the frame in the suspension system. Computer aided engineering analysis of a conventional flat leaf springs has been done and then validated through the results of experimental testing. The complete assembly of leaf spring is consists of total eighteen parts having one full length leaf, two graduated length leaves, two eye pins, two rebound clips, one set of centre nut and bolt, two sets of clip nut and bolt, two shim for clips, two rivets and one packing. The material of leaf springs is EN45A spring steel. The process flow of this work consists of CAD modeling of leaf spring in CATIA followed by simulation in ANSYS. | |
dc.format.extent | ||
dc.language | English US | |
dc.relation | ||
dc.rights | university | |
dc.title | Computer Aided Engineering Analysis and Optimization of Conventional Leaf Spring | |
dc.title.alternative | ||
dc.creator.researcher | Krishan Kumar | |
dc.description.note | ||
dc.contributor.guide | M. L. Aggarwal | |
dc.publisher.place | Faridabad | |
dc.publisher.university | YMCA University of Science and Technology | |
dc.publisher.institution | Department of Mechanical Engineering newline | |
dc.date.registered | 4-5-2011 | |
dc.date.completed | 07/11/2016 | |
dc.date.awarded | 24/11/2016 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.type.degree | Ph.D. | |
dc.source.selfsubmission | Self Submission | |
Appears in Departments: | Department of Mechanical Engineering |
Files in This Item:
File | Description | Size | Format | |
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2 abstract & content.pdf | Attached File | 349.31 kB | Adobe PDF | View/Open |
chapter_1_introduction.pdf | 869.88 kB | Adobe PDF | View/Open | |
chapter_2_literature_review.pdf | 231.31 kB | Adobe PDF | View/Open | |
chapter_3_methodology.pdf | 1.05 MB | Adobe PDF | View/Open | |
chapter_4_cad_modeling.pdf | 1.2 MB | Adobe PDF | View/Open | |
chapter_5_cae_analysis_optimization.pdf | 2.5 MB | Adobe PDF | View/Open | |
chapter_6_experimental_work_optimization.pdf | 530.49 kB | Adobe PDF | View/Open | |
chapter_7_result_dicussions.pdf | 278.83 kB | Adobe PDF | View/Open | |
chapter_8_conclusions.pdf | 100.03 kB | Adobe PDF | View/Open | |
chapter_9_limitations_future_scope.pdf | 183.25 kB | Adobe PDF | View/Open |
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