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Abstract

Studies were conducted on a zinc coating produced on the surface of ductile iron grade EN-GJS-500-7 to determine the eutectic grain

effect. For this purpose, castings with a wall thickness of 5 to 30 mm were made and the resulting structure was examined. To obtain a

homogeneous metal matrix, samples were subjected to a ferritising annealing treatment. To enlarge the reaction surface, the top layer was

removed from casting by machining. Then hot dip galvanising treatment was performed at 450°C to capture the kinetics of growth of the

zinc coating (in the period from 60 to 600 seconds). Analysing the test results it was found that within the same time of hot dip

galvanising, the differences in the resulting zinc coating thickness on samples taken from castings with different wall cross-sections were

small but could, particularly for shorter times of treatment, reduce the continuity of the alloyed layer of the zinc coating.

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Authors and Affiliations

D. Kopyciński
E. Guzik
A. Szczęsny
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Abstract

This article discusses the possibility of using a two-track X-S control card on a Mesas device to control the production process parameters of piston castings for combustion engines. The research was carried out at the Federal-Mogul Gorzyce company. The basis for estimating the variability of the process results from the mean value (X) is the standard deviation (S). Thanks to specially designed measuring stations that use algorithms to calculate process indicators (Cp and/or Cpk) and their visualization, the cost of manufacturing products and the number of non-compliant products (scraps) are reduced. The process stability was investigated by measuring the key dimensions of the piston casting in a specific population and a given measurement cycle. Taking into account the precision of details, their technical condition, and surface quality, the production machines and cutting tools were optimally selected. It has been found that an important element of the effective use of Statistical Process Control (SPC) are trained/experienced operators who can correctly interpret the resulting control chart forms.
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Bibliography

[1] Czarski, A., Satora, K. (1998). Statistical process control. Teaching materials. Cracow: Stat-Q-Mat s.c.
[2] Dahlgaard, J.J., Kristensen, K., Kanji, G.K. (2002). Podstawy zarządzania jakością. Warsaw: PWN.
[3] Grant, E.L., Leavenworth, R.S. (1996). Statistical quality control. McGraw-Hill.
[4] Hamrol, A. (2005). Quality management with examples. Warsaw: PWN.
[5] Kończak, G. (2000). Application of control cards in quality control in the course of production. Katowice: Publishing House of the University of Economics in Katowice.
[6] Kończak, G. (2007). Statistical methods in controlling the quality of production. Katowice: Publishing House of the University of Economics in Katowice.
[7] Maliński, M. (2004). Computer aided verification of statistical hypotheses. Katowice: Publishing House of the Silesian University of Technology in Gliwice.
[8] Chrapoński, J. (2010). Fundamentals of statistical processes control. Katowice: Publishing House of the Silesian University of Technology in Gliwice.
[9] Statistical Process Control SPC Second edition. AIAG, Berlin-London, July 2005, p. 57.
[10] Polska Norma PN-ISO 8258+AC1: Karty kontrolne Shewharta. PKN, 1996.
[11] Quality Assurance for Suppliers. Quality Management in the Automotive Industry. Production process and product approval (PPA). 5th edition, Berlin 2012.
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Authors and Affiliations

A. Krępa
1
J. Piątkowski
2
ORCID: ORCID

  1. Federal-Mogul Gorzyce Sp. z o.o., Odlewników 52, 39-432 Gorzyce, Poland
  2. Silesian University of Technology, Krasińskiego 8 Gliwice, Poland
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Abstract

The FMEA (Failure Mode and Effects Analysis) method consists in analysis of failure modes and evaluation of their effects based on

determination of cause-effect relationships for formation of possible product or process defects. Identified irregularities which occur

during the production process of piston castings for internal combustion engines were ordered according to their failure rates, and using

Pareto-Lorenz analysis, their per cent and cumulated shares were determined. The assessments of risk of defects occurrence and their

causes were carried out in ten-point scale of integers, while taking three following criteria into account: significance of effects of the defect

occurrence (LPZ), defect occurrence probability (LPW) and detectability of the defect found (LPO). A product of these quantities

constituted the risk score index connected with a failure occurrence (a so-called “priority number,” LPR). Based on the observations of the

piston casting process and on the knowledge of production supervisors, a set of corrective actions was developed and the FMEA was

carried out again. It was shown that the proposed improvements reduce the risk of occurrence of process failures significantly, translating

into a decrease in defects and irregularities during the production of piston castings for internal combustion engines.

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Authors and Affiliations

J. Piątkowski
P. Kamiński

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