Quality Predictive CAM Simulation for Machining Production



01.01.2018 to 31.12.2019
Organizational Unit:
Chair of Machine Tools, Machine Data Analytics and NC-Technology
German Federation of Industrial Research Associations AiF

Research partner

  • Forschungsvereinigung Programmiersprachen für Fertigungseinrichtungen e. V. (FVP)



work Phone
+49 241 80 25415



The aim of the research project is to enable CAM planners to design quality predictive machining manufacturing processes and to present potential solution alternatives and their effect on compliance with manufacturing tolerances. Thus, cause-effect relationships can be identified already during the planning process and cost-intensive "trial & error" strategies can be dispensed with.

Within a CAM extension to be developed as a prototype, different machining solution alternatives to be tested can be defined, for which compliance with the quality-relevant tolerances is validated by means of virtual material removal simulation. The results of the simulation are presented to the CAM planner in a graphical overview of the quality evaluation. In addition, further information can be displayed in a further view for each combination of solution alternative and tolerance to be maintained, e.g. percentage distribution of the main influencing factors on tolerance fulfillment, uncertainty of the simulation or the simulated measurement record. Main influencing factors can be, for example, the static displacement of the tool, the distortion of the workpiece by the clamping system or the geometric positioning accuracy of the machine tool.

The IGF project QUAPS (AIF/IGF 19828 N ) of the Forschungsvereinigung Programmiersprachen für Fertigungseinrichtungen (FVP) e.V. (Research Association for Programming Languages for Manufacturing Facilities) was funded via the AiF within the framework of the program for the promotion of joint industrial research (IGF) by the Federal Ministry of Economics and Energy on the basis of a resolution of the German Bundestag. The funding period began in January 2018 and ended in December 2019.