An integrated cost model for metal cutting operations based on engagement time and a cost breakdown approach

In all manufacturing processes, it is important to determine the costs and their distribution between different sequential processing steps. A cost equation based directly on the losses during manufacturing, such as rejection rate, stops and waste of workpiece materials, also provides a valuable aid in giving priority to various development activities and investments. The present work concerns how a cost model presented earlier for calculating part costs can be developed to describe part costs as a function of the cutting data and tool life time T selected. This enables a tool life model to be a directly integrated into the cost model by use of tool engagement time. The model presented also takes into account the part costs for scrap incurred in connection with forced tool changes. Examples are also given of how the model developed can be used in the economic evaluation of various cutting tools and workpiece materials

Ontology-based manufacturability analysis automation for industrialized construction

The current digital fabrication workflow requires many iterations between design and manufacturing. Automated manufacturability analysis can reduce the number of iterations at the design stage. However, existing approaches that leverage design for manufacturing and assembly (DfMA) do not consider detailed product features and production capabilities. To address this limitation, this paper utilizes an ontology-based approach to connect design and manufacturing knowledge. The developed manufacturability analysis system (MAS) involves semantic reasoning to analyze manufacturability by combining feature-based modelling, production capability modelling and manufacturing rules. The system was tested on a timber panelized project to demonstrate complex manufacturability analysis capability. The testing proves that the system could provide real-time feedback to the designers, leading to fewer design iterations. Thus, the paper is a first step towards automated fabrication-aware design and the results from the study lay the foundation for future research on connecting knowledge for interdisciplinary rule checkin