The assessment of castings quality using selected quantitative methods
| العنوان: | The assessment of castings quality using selected quantitative methods |
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| المؤلفون: | Denisa Závodská, Eva Tillová, Lenka Kuchariková |
| المصدر: | Production Engineering Archives, Vol 13/4(2016), Pp 7-10 (2016) |
| بيانات النشر: | Stowarzyszenie Menedzerow Jakosci i Produkcji, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Engineering drawing, Materials science, quantitative analysis, lcsh:Engineering machinery, tools, and implements, lcsh:Machine design and drawing, media_common.quotation_subject, lcsh:TJ227-240, Industrial and Manufacturing Engineering, Manufacturing engineering, structural parameters of aluminium cast alloys, Management Information Systems, Quantitative analysis (finance), image analyser software, Management of Technology and Innovation, Quality (business), lcsh:TA213-215, Safety, Risk, Reliability and Quality, aluminium castings, media_common |
| الوصف: | Aluminium alloys represent an important category of materials due to their high technological value and wide range of applications. The alloys of the Al-Si-Cu system have become increasingly important in recent years, mainly in automotive industry that uses secondary aluminium (recycled) in the form of various motor mounts, pistons, cylinder heads, heat exchangers, air conditioners due to their high strength at room and high temperature. This work deals with possibilities of quick and correct assessment of aluminium castings microstructure, especially focused on volume, size and shape of structural parameters – eutectic Si and ntermetallic phases different chemical compositions. These structural parameters affect the properties of castings and it is important to study their features. The features were studied by using image analyser software NIS Elements. |
| تدمد: | 2353-7779 2353-5156 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f8d9591192e0b6aee294ac6786272d6 https://doi.org/10.30657/pea.2016.13.02 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....8f8d9591192e0b6aee294ac6786272d6 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23537779 23535156 |
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