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Application of JM-SPC program for statistical control of foundry production processes

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A computer program written by author in Delphi for statistical control of production processes is presented. The JM-SPC program can be used for both the variable valued and the attribute valued data type. The data are introduced manually into table (up to 20 columns; up to 10000 rows). The option of data introducing is with some function equipped, which make this process very easy. The data analysis option offer many of analytical techniques. For variable valued data sets following control tools are available: individual values chart, average values chart, moving average values chart, exponentially moving average values chart, median values chart, range chart, standard deviation chart. Also two-signal control charts are available, for example: X-R, X-S, Me-R, Me-S. For variable valued data the performance of processes can be evaluated by using of two commonly used indices: potential process capability index (Cp) and process capability index (Cpk). For the attribute valued data type the user can select: p- and np-chart, c- and u-chart, Pareto diagram. Application of JM-SPC program for statistical analysis of real processes has been presented on the example of Al-Si high-pressure die casting production. For example of production of two different frame castings following analyses have been conducted: 1) the analysis of defect fraction in sample (by using the p-chart), 2) the analysis of relative differences in importance of each defects categories (by using of the Pareto diagram).
Rocznik
Strony
153--158
Opis fizyczny
Bibliogr. 9 poz., rys., wykr.
Twórcy
autor
  • Department of Mechanical Engineering, University of Zielona Góra, Podgórna 50 Str., 65-246 Zielona Góra, j.mutwil@iizp.uz.zgora.pl
Bibliografia
  • [1] M. Dudek-Burlikowska: Quality estimation of process with usage control charts type X-R and quality capability of process Cp, Cpk, Journal of Materials Processing Technology 162-163, 2005, 736-743.
  • [2] D.C. Montgomery: Introduction to Statistical Quality Control, Willey, New York, 1985.
  • [3] M. Perzyk, R. Biernacki: Advanced statistical methods in production process control, Archives of Foundry, vol. 4, No 12, 2004, 19-27 (in Polish).
  • [4] J. Szymszal, A. Smoliński, F. Bińczyk: Application of the control charts to numerical opinion in process production of the sand mixes, Archives of Foundry, vol. 6, No 19, 2006, 31-36, (in Polish).
  • [5] C. Vargas, L. F. Lopes, A. M. Souza: Comparative study of the performance of the CuSum and EWMA control charts, Computer and Industrial Engineering 46, 2004, 707-724.
  • [6] P. A. Jokinen, On the usage of spreadsheet packages for automating statistical process control tasks, ISA Transactions 34, 1995, 29-37.
  • [7] E. Dietrich, A. Schulze: Statistical methods by certification of machine measure equipments and production processes, Notika System, Warszawa, 2000, (in Polish).
  • [8] J. Mutwil: An establish attempt of reasons of machining splinter formation in AC44200 alloy high pressure die castings, Archives of Foundry Engineering vol. 8, No. 3, 2008, 159-166.
  • [9] J. Mutwil: An establish attempt of reasons of machining splinter formation in AC47000 alloy high pressure die castings, Archives of Foundry Engineering vol. 8, No. 3, 2008, 167-172.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ3-0035-0030
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