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On Variation of Surface Topography and Robust Product Performance
Halmstad University, School of Business and Engineering (SET), Mechanical Engineering and Industrial Design (MTEK), Functional Surfaces.ORCID iD: 0000-0001-8058-1252
Halmstad University, School of Business and Engineering (SET), Mechanical Engineering and Industrial Design (MTEK), Functional Surfaces.ORCID iD: 0000-0002-4826-019X
Halmstad University, School of Business and Engineering (SET), Mechanical Engineering and Industrial Design (MTEK), Functional Surfaces.ORCID iD: 0000-0003-3149-4296
2012 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

The customer’s demands for higher quality, faster delivery times and reduction of cost, give evidence for the need to develop new technologies or enhance existing technologies combined with research activities.

The automotive industry's capability to develop new products in a shorter time is constantly improved.  Tool and die creation is a major part of the product creation for many industrial products and in particular for the automotive industry.  The higher product requirements on reduced weight, better safety, and lower emissions have meant that a larger number of automotive body parts must be made in advanced high strength steels.

Improved functionality of surface textures and engineered tailor made component surfaces is one enabling technology for industry to increase compete ability by improved component function and reduced friction losses.

However, material properties’ variation, un-evenly spread wear, unknown manufacturing process variations, the ”human factor”, faulty metrology procedures …   All factors interact to increase the problems of utilizing surface texturing on the micro metre level as a competitive tool for industry.

Large variation of the micro topography created by industrial machining processes tends to reduce the impact of the usage of improved engineered surfaces on critical components.

A proposal of a strategy for metrology using "intelligent" sampling techniques comprising of regionalization of the functional area and designed sampling patterns is presented.

To efficiently make use of efficient sampling, an example of a recently developed optical scattering light in-line metrology of high precision surfaces is discussed as a tool to enable efficient control of machine tools in general.

Future steps discussed include developing of control loops for implementation in CNC controllers to efficiently make use of the "smart" surface texture characterisation data from the developed in-line surface texture sensors.

Place, publisher, year, edition, pages
2012.
Keyword [en]
surface topography in-line metrology, variation, robust, sampling
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-21151OAI: oai:DiVA.org:hh-21151DiVA: diva2:588759
Conference
4th International Symposium on Test Automation and Instrumentation (ISTAI’2012), Aug. 8–11, Dandong, China
Note

Key-note speach opening day, full paper submission

Available from: 2013-05-13 Created: 2013-01-15 Last updated: 2014-03-05Bibliographically approved

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CiteExportLink to record
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