Model based optimization of a statistical simulation model for single diamond grinding
We present a model for simulating normal forces arising during a grind- ing process in cement for single diamond grinding. Assuming the diamond to have the shape of a pyramid, a very fast calculation of force and removed volume can be achieved. The basic approach is the simulation of the scratch tra...
Gespeichert in:
Hauptverfasser: | , , , , , , |
---|---|
Format: | Dataset |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Herbrandt, Swetlana Ligges, Uwe Pinho Ferreira, Manuel Kansteiner, Michael Biermann, Dirk Tillmann, Wolfgang Weihs, Claus |
description | We present a model for simulating normal forces arising during a grind- ing process in cement for single diamond grinding. Assuming the diamond to have the shape of a pyramid, a very fast calculation of force and removed volume can be achieved. The basic approach is the simulation of the scratch track. Its triangle profile is determined by the shape of the diamond. The approximation of the scratch track is realized by stringing together polyhedra. Their sizes depend on both the actual cutting depth and an error implicitly describing the material brittleness. Each scratch track part can be subdivided into three three-dimensional simplices for a straightforward calculation of the removed volume. Since the scratched min- eral subsoil is generally inhomogeneous, the forces at different positions of the workpiece are expected to vary. This heterogeneous nature is considered by sam- pling from a Gaussian random field. To achieve a realistic outcome the model parameters are adjusted applying model based optimization methods. A noisy Kriging model is chosen as surrogate to approximate the deviation between modelled and observed forces. This devia- tion is minimized and the results of the modelled forces and the actual forces from conducted experiments are rather similar. |
doi_str_mv | 10.17877/de290r-16574 |
format | Dataset |
fullrecord | <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_17877_de290r_16574</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_17877_de290r_16574</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_17877_de290r_165743</originalsourceid><addsrcrecordid>eNqVjrsKwjAUhrM4iDq6nxeoNlqNzqK4uIlrOPak5UAuJYmDPr2l9QWcfv4bfEIsZbmS6qDUmszmWMZC7neqmorHLZCx8MRkCEKX2fEHMwcPoQGElHuTMtdoIbF72bFzw6kJsQ99aw0QowueoI3sqY_mYtKgTWbx05koLuf76VoQZqw5G91FdhjfWpZ64NIjlx64tv_uv19WRvs</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Model based optimization of a statistical simulation model for single diamond grinding</title><source>DataCite</source><creator>Herbrandt, Swetlana ; Ligges, Uwe ; Pinho Ferreira, Manuel ; Kansteiner, Michael ; Biermann, Dirk ; Tillmann, Wolfgang ; Weihs, Claus</creator><creatorcontrib>Herbrandt, Swetlana ; Ligges, Uwe ; Pinho Ferreira, Manuel ; Kansteiner, Michael ; Biermann, Dirk ; Tillmann, Wolfgang ; Weihs, Claus</creatorcontrib><description>We present a model for simulating normal forces arising during a grind- ing process in cement for single diamond grinding. Assuming the diamond to have the shape of a pyramid, a very fast calculation of force and removed volume can be achieved. The basic approach is the simulation of the scratch track. Its triangle profile is determined by the shape of the diamond. The approximation of the scratch track is realized by stringing together polyhedra. Their sizes depend on both the actual cutting depth and an error implicitly describing the material brittleness. Each scratch track part can be subdivided into three three-dimensional simplices for a straightforward calculation of the removed volume. Since the scratched min- eral subsoil is generally inhomogeneous, the forces at different positions of the workpiece are expected to vary. This heterogeneous nature is considered by sam- pling from a Gaussian random field. To achieve a realistic outcome the model parameters are adjusted applying model based optimization methods. A noisy Kriging model is chosen as surrogate to approximate the deviation between modelled and observed forces. This devia- tion is minimized and the results of the modelled forces and the actual forces from conducted experiments are rather similar.</description><identifier>DOI: 10.17877/de290r-16574</identifier><language>eng</language><publisher>Technische Universität Dortmund</publisher><subject>augmented expected improvement ; Bohren ; Diamantwerkzeug ; Kriging ; Mathematische Modellierung ; MBO ; noisy Kriging ; Optimierung</subject><creationdate>2016</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17877/de290r-16574$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Herbrandt, Swetlana</creatorcontrib><creatorcontrib>Ligges, Uwe</creatorcontrib><creatorcontrib>Pinho Ferreira, Manuel</creatorcontrib><creatorcontrib>Kansteiner, Michael</creatorcontrib><creatorcontrib>Biermann, Dirk</creatorcontrib><creatorcontrib>Tillmann, Wolfgang</creatorcontrib><creatorcontrib>Weihs, Claus</creatorcontrib><title>Model based optimization of a statistical simulation model for single diamond grinding</title><addtitle>Discussion Paper / SFB 823;11/2016</addtitle><description>We present a model for simulating normal forces arising during a grind- ing process in cement for single diamond grinding. Assuming the diamond to have the shape of a pyramid, a very fast calculation of force and removed volume can be achieved. The basic approach is the simulation of the scratch track. Its triangle profile is determined by the shape of the diamond. The approximation of the scratch track is realized by stringing together polyhedra. Their sizes depend on both the actual cutting depth and an error implicitly describing the material brittleness. Each scratch track part can be subdivided into three three-dimensional simplices for a straightforward calculation of the removed volume. Since the scratched min- eral subsoil is generally inhomogeneous, the forces at different positions of the workpiece are expected to vary. This heterogeneous nature is considered by sam- pling from a Gaussian random field. To achieve a realistic outcome the model parameters are adjusted applying model based optimization methods. A noisy Kriging model is chosen as surrogate to approximate the deviation between modelled and observed forces. This devia- tion is minimized and the results of the modelled forces and the actual forces from conducted experiments are rather similar.</description><subject>augmented expected improvement</subject><subject>Bohren</subject><subject>Diamantwerkzeug</subject><subject>Kriging</subject><subject>Mathematische Modellierung</subject><subject>MBO</subject><subject>noisy Kriging</subject><subject>Optimierung</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2016</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVjrsKwjAUhrM4iDq6nxeoNlqNzqK4uIlrOPak5UAuJYmDPr2l9QWcfv4bfEIsZbmS6qDUmszmWMZC7neqmorHLZCx8MRkCEKX2fEHMwcPoQGElHuTMtdoIbF72bFzw6kJsQ99aw0QowueoI3sqY_mYtKgTWbx05koLuf76VoQZqw5G91FdhjfWpZ64NIjlx64tv_uv19WRvs</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>Herbrandt, Swetlana</creator><creator>Ligges, Uwe</creator><creator>Pinho Ferreira, Manuel</creator><creator>Kansteiner, Michael</creator><creator>Biermann, Dirk</creator><creator>Tillmann, Wolfgang</creator><creator>Weihs, Claus</creator><general>Technische Universität Dortmund</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>2016</creationdate><title>Model based optimization of a statistical simulation model for single diamond grinding</title><author>Herbrandt, Swetlana ; Ligges, Uwe ; Pinho Ferreira, Manuel ; Kansteiner, Michael ; Biermann, Dirk ; Tillmann, Wolfgang ; Weihs, Claus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17877_de290r_165743</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2016</creationdate><topic>augmented expected improvement</topic><topic>Bohren</topic><topic>Diamantwerkzeug</topic><topic>Kriging</topic><topic>Mathematische Modellierung</topic><topic>MBO</topic><topic>noisy Kriging</topic><topic>Optimierung</topic><toplevel>online_resources</toplevel><creatorcontrib>Herbrandt, Swetlana</creatorcontrib><creatorcontrib>Ligges, Uwe</creatorcontrib><creatorcontrib>Pinho Ferreira, Manuel</creatorcontrib><creatorcontrib>Kansteiner, Michael</creatorcontrib><creatorcontrib>Biermann, Dirk</creatorcontrib><creatorcontrib>Tillmann, Wolfgang</creatorcontrib><creatorcontrib>Weihs, Claus</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Herbrandt, Swetlana</au><au>Ligges, Uwe</au><au>Pinho Ferreira, Manuel</au><au>Kansteiner, Michael</au><au>Biermann, Dirk</au><au>Tillmann, Wolfgang</au><au>Weihs, Claus</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Model based optimization of a statistical simulation model for single diamond grinding</title><addtitle>Discussion Paper / SFB 823;11/2016</addtitle><date>2016</date><risdate>2016</risdate><abstract>We present a model for simulating normal forces arising during a grind- ing process in cement for single diamond grinding. Assuming the diamond to have the shape of a pyramid, a very fast calculation of force and removed volume can be achieved. The basic approach is the simulation of the scratch track. Its triangle profile is determined by the shape of the diamond. The approximation of the scratch track is realized by stringing together polyhedra. Their sizes depend on both the actual cutting depth and an error implicitly describing the material brittleness. Each scratch track part can be subdivided into three three-dimensional simplices for a straightforward calculation of the removed volume. Since the scratched min- eral subsoil is generally inhomogeneous, the forces at different positions of the workpiece are expected to vary. This heterogeneous nature is considered by sam- pling from a Gaussian random field. To achieve a realistic outcome the model parameters are adjusted applying model based optimization methods. A noisy Kriging model is chosen as surrogate to approximate the deviation between modelled and observed forces. This devia- tion is minimized and the results of the modelled forces and the actual forces from conducted experiments are rather similar.</abstract><pub>Technische Universität Dortmund</pub><doi>10.17877/de290r-16574</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.17877/de290r-16574 |
ispartof | |
issn | |
language | eng |
recordid | cdi_datacite_primary_10_17877_de290r_16574 |
source | DataCite |
subjects | augmented expected improvement Bohren Diamantwerkzeug Kriging Mathematische Modellierung MBO noisy Kriging Optimierung |
title | Model based optimization of a statistical simulation model for single diamond grinding |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T06%3A56%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Herbrandt,%20Swetlana&rft.date=2016&rft_id=info:doi/10.17877/de290r-16574&rft_dat=%3Cdatacite_PQ8%3E10_17877_de290r_16574%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |