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A Contact Model for Rough Surfaces
KTH, Superseded Departments, Machine Design.
KTH, Superseded Departments, Machine Design.ORCID iD: 0000-0002-2578-9453
KTH, Superseded Departments, Machine Design.
1999 (English)In: NAFEMS World Congress, April 25-28 1999, Newport, Rhode Island,USA, 1999Conference paper, Published paper (Other academic)
Abstract [en]

Engineering surfaces can be characterized as more or less randomly rough. Contact between engineering surfaces is thus discontinuous and the real area of contact is a small fraction of the nominal contact area. The stiffness of a rough surface layer will thus have an influence on the contact state as well as on the behavior of the surrounding system. A contact model that takes the properties of engineering surfaces into account has been developed and implemented in a commercial FE software. Results obtained with the model have been compared and verified with results from an independent numerical method. Results have shown that the height distribution of the topography has a significant influence on the contact stiffness but that the curvature of the roughness is of minor importance. The contact model that was developed for determining the apparent contact area and the distribution of the mean contact pressure could thus be based on a limited set of height parameters that describe the surface topography. By operating on the calculated apparent pressure distribution with a transformation function that is based on both height and curvature parameters, the real contact area can be estimated in a post processing step.

 

Place, publisher, year, edition, pages
1999.
Identifiers
URN: urn:nbn:se:kth:diva-19452OAI: oai:DiVA.org:kth-19452DiVA: diva2:338057
Note
QC 20100810Available from: 2010-08-10 Created: 2010-08-10 Last updated: 2010-08-11Bibliographically approved
In thesis
1. Simulation-driven design: Motives, Means, and Opportunities
Open this publication in new window or tab >>Simulation-driven design: Motives, Means, and Opportunities
1999 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Efficiency and innovative problem solving are contradictory requirements for productdevelopment (PD), and both requirements must be satisfied in companies that strive to remainor to become competitive. Efficiency is strongly related to ”doing things right”, whereasinnovative problem solving and creativity is focused on ”doing the right things”.Engineering design, which is a sub-process within PD, can be viewed as problem solving or adecision-making process. New technologies in computer science and new software tools openthe way to new approaches for the solution of mechanical problems. Product datamanagement (PDM) technology and tools can enable concurrent engineering (CE) bymanaging the formal product data, the relations between the individual data objects, and theirrelation to the PD process. Many engineering activities deal with the relation betweenbehavior and shape. Modern CAD systems are highly productive tools for conceptembodiment and detailing. The finite element (FE) method is a general tool used to study thephysical behavior of objects with arbitrary shapes. Since a modern CAD technology enablesdesign modification and change, it can support the innovative dimension of engineering aswell as the verification of physical properties and behavior. Concepts and detailed solutionshave traditionally been evaluated and verified with physical testing. Numerical modeling andsimulation is in many cases a far more time efficient method than testing to verify theproperties of an artifact. Numerical modeling can also support the innovative dimension ofproblem solving by enabling parameter studies and observations of real and syntheticbehavior. Simulation-driven design is defined as a design process where decisions related tothe behavior and performance of the artifact are significantly supported by computer-basedproduct modeling and simulation.A framework for product modeling, that is based on a modern CAD system with fullyintegrated FE modeling and simulation functionality provides the engineer with tools capableof supporting a number of engineering steps in all life-cycle phases of a product. Such aconceptual framework, that is based on a moderately coupled approach to integratecommercial PDM, CAD, and FE software, is presented. An object model and a supportingmodular modeling methodology are also presented. Two industrial cases are used to illustratethe possibilities and some of the opportunities given by simulation-driven design with thepresented methodology and framework.

Place, publisher, year, edition, pages
Stockholm: KTH, 1999. vi, 42 p.
Series
Trita-MMK, ISSN 1400-1179 ; 1999:26
Keyword
CAD, CAE, FE method, Metamodel, Object model, PDM, Physical behavior, System
Identifiers
urn:nbn:se:kth:diva-2875 (URN)99-3055738-5 (ISBN)
Public defence
1999-12-01, 00:00
Note
QC 20100810Available from: 2000-01-01 Created: 2000-01-01 Last updated: 2010-08-11Bibliographically approved

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