The effective width of the moving heat source is presented and the shape of the grinding block is simplified in order to use the traditional heat source model in modelling flat grinding with a cup wheel. Both triangular and rectangular heat source models are presented and compared with experimental results. The heat transfer process, the end-face temperature of a single wear particle, and the one-dimensional heat transfer model are integrated to study the heat flux into the workpiece. The energy partition ratio is obtained under conditions of different grinding parameters in order to make the temperature model precise. The feasibility of the temperature model is validated by experimental results, and the influence of grinding parameters on the grinding temperature is also analysed.
On-machine direct detection of profile errors is vital to improve accuracy and efficiency in profile grinding. However, achieving such detection processes is difficult because of harsh machining conditions. This study presents a novel machine-vision-based processing methodology for the profile grinding of contour surfaces instead of the traditional optical-enlargement-based profile grinding which is manual dependent and low efficient. Grinding errors were efficiently detected online through machine vision. A specific vision system was coordinately designed with the profile grinding system to ensure distortionless measurement of workpiece contour and overcome the interferences of machining environment during profile grinding. A machining error detection principle was proposed based on the online captured workpiece contour image. Real-time error identification and compensation algorithms were developed through the synthetic error measurement. Simulations and experiments were conducted successively. The results indicated that profile errors were considerably reduced and measurement efficiency was improved, validating the effectiveness of the proposed methodology for profile grinding of contour surface. The findings can also provide a reference for the direct measurement of machining errors in other machines.
Truing and dressing of superabrasive grinding wheels remain as one of the most important issues in hard-to-cut materials' precise machining field. Recently, electrical discharge dressing process with less pollution, aimed to protect environment, has become an urgent studying subject in the world. In this study, various discharge mediums including kerosene-based oil, compressed air, misted deionized water, and misted emulsion were applied in electrical discharge dressing bronze-bonded diamond grinding wheels. Misted deionized water and misted emulsion are liquid-gas mixture. The dressing quality of wheels with various mediums was analyzed according to wheel topographies. The dressing efficiency of various discharge mediums was evaluated by the dressing depth divided by the dressing time. In addition, the performance of electrical discharge dressed wheel was investigated in practical grinding. Misted deionized water and misted emulsion electrical discharge dressing show advantages over the compressed air electrical discharge dressing in better dressing quality and higher dressing efficiency. Compared to kerosene-based oil electrical discharge dressing, misted deionized water and misted emulsion electrical discharge dressing have better dressing quality and lower dressing efficiency.
Kinematics theory for a multi-body system is used to analyse translational joint error, rotational joint error, and quadrature error in a spherical grinding system. A virtual grinding point method is proposed that is based on process features, and the feasibility as well as effectiveness of this method is demonstrated. A volumetric error model of the grinding system is created and the compensation method is coded into a control computer program. A laser interferometer is used to experimentally measure the error both with and without the proposed error compensation scheme. The experimental results validate the proposed approach in that they show that the spherical surface grinding precision is significantly improved.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.