Quantitative analysis of the effects of incorporating laser powder bed fusion manufactured conformal cooling inserts in steel moulds over four types of defects of a commercially produced injected part

Autor: Joaquim Minguella-Canela, Sergio Morales Planas, Vicente César de Medina Iglesias, M. Antonia de los Santos López
Přispěvatelé: Universitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica, Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics, Universitat Politècnica de Catalunya. TECNOFAB - Grup de Recerca en Tecnologies de Fabricació, Universitat Politècnica de Catalunya. CREMIT - Centre de Recerca de Motors i Instal·lacions Tèrmiques
Rok vydání: 2023
Předmět:
Zdroj: Journal of Materials Research and Technology. 23:5423-5439
ISSN: 2238-7854
DOI: 10.1016/j.jmrt.2023.02.164
Popis: The introduction of additively manufactured conformal cooling inserts in steel moulds for plastic injection is becoming a recommended standard. Fine adjustment of the temperatures in the mould has demonstrated potential to reduce cycle times and to increase production volumes. Within this context, the present article explores the historical production data of a commercially produced part, before and after the incorporation of an LPBF conformal cooling insert, to analyse what is the quantitative real effect on the efficiency of the production runs. The article analyses the change in the global rejection rates, and its effect over four different product defect types, i.e.: optical (surface), part integrity (bubbles, transparency, geometry), incomplete fill-in (interior), and breakages during extraction. The results demonstrate a specific decrease on the average appearance (from 20.53% to 13.48%; reduction of 7.05%) and variability (standard deviation from 14.16% to 6.81%; reduction of a 7.35%), of the global scrap rates, and a significant decrease in the scrap rates generated by optical defects and extraction part breakages. The article also characterises the former and the new processes by adjusting two distribution functions (Pareto Type-I and Weibull) and compares different estimates for the global expected scrap rates in past and future production runs.
Databáze: OpenAIRE