Online optimization of multipass machining based on cloud computing

Cloud computing provides on-demand computing services and data. The cloud infrastructure can be owned by a private organization, a group of organizations, or the public. In this work, the feasibility of using cloud computing for the optimization of machining processes is explored. A web system is developed in which a main server keeps the repository of data and carries out optimization. The main server can provide the optimized process parameters on demand to various clients. The clients can use the optimized data and fine-tune them if necessary. The clients send the feedback to the server, which is utilized with the help of a probability-based approach. The case examples show the feasibility of using the system for helping in agile manufacturing.