Energy Efficiency Assessment in Plunge-Face Grinding of Cemented Tungsten Carbide Cutting Inserts

Autor(es)

Carreira, L. A. S. ; Hassui, A. ; Ventura, C. E. H.

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY; v. N/A, p. 10-pg., 2023-05-04.

Resumo

Due to the high demand for electricity in the manufacturing industry and the efforts to reduce environmental impact, investigations to increase energy efficiency in machining processes have been increasingly carried out. However, information on the behavior of insert grinding process is rarely found. Within this context, this work presents results related to the influence of grinding parameters and abrasive tool characteristics on the energy efficiency during plunge-face grinding of cemented tungsten carbide cutting inserts. For this, grinding forces and consumed electrical energy were measured during the process and sustainability indexes to analyze the relation between insert quality (surface and edge roughness) and consumed energy were calculated in different process conditions. As a result, it was observed that grinding parameters had little influence on insert quality, but an increase in the axial feed speed reduced the consumed energy in approximately 60%, leading to sustainability indexes next to one, i.e., to a greater equilibrium between energy consumption and quality properties. (AU)

• Processo FAPESP: 17/12304-5 - EMU concedido no processo 15/15622-2: retificadora CNC para preparação de insertos de corte
• Beneficiário: Carlos Eiji Hirata Ventura
• Modalidade de apoio: Auxílio à Pesquisa - Programa Equipamentos Multiusuários
• Processo FAPESP: 15/15622-2 - Influência dos parâmetros de retificação na fabricação de insertos de metal duro sobre seu desempenho no torneamento de uma liga de titânio
• Beneficiário: Carlos Eiji Hirata Ventura
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores
• Processo FAPESP: 17/12309-7 - EMU concedido no processo 15/15622-2: microscópio para análise de imagens tridimensionais
• Beneficiário: Carlos Eiji Hirata Ventura
• Modalidade de apoio: Auxílio à Pesquisa - Programa Equipamentos Multiusuários