Research On Part Process Planning Key Technologies In Human-machine Synergy

The intelligent manufacturing mode,in which machines replace workers as the main recipients of process planning and production executors,requires more accurate and detailed product manufacturing process information to guide production correctly and efficiently.Due to the large number of design elements,complex content and strong timevarying scenario in process planning,the current computerized automated process planning patterns based on simplified decision models and static decision methods has problems such as rough results,poor accuracy and low intelligence,which are difficult to meet the demand for high quality and efficient process planning in the intelligent manufacturing mode.The idea of human-machine synergy provides a solution to the above problems.Focusing on the implement of computer-aided part process planning in the human-machine synergy mode,taking machining process planning as the starting point,this dissertation proposes a part process planning method framework under the mode of human-machine synergy,and studies relevant key technology according to the main business of part process planning.While establishing a computer-aided process planning method that is accurate,efficient,and has a controlled decision-making process,it explores the implementation and application of human-computer synergy intelligence in the field of process planning.Aiming at the problem of part process planning methods under the human-machine synergy mode,the law of process design activities is analyzed,the implementation mechanism of human-machine synergy process planning is studied,and a framework of human-machine synergy computer-aided process planning that takes into account the business division and capability allocation between human and machine is proposed.Furthermore,focusing on the main tasks of part process planning,the workflow of humanmachine synergy process plaing is established,and the key supporting technologies and their roles are discussed,which provides theories and methods for the implementation of human-machine synergy process planning.In order to solve the problem of whether there exists a feasible machining process for a part design,by introducing the concept of manufacturing meta object,a knowledgebased part process ability analysis method is presented.The method is used to carry out human-machine synergy part process ability check with knowledge objects as intermediaries,and detect automatically the process ability defects in parts under current manufacturing conditions.On this basis,a process ability knowledge representation model based on frame-production rule is designed,and the reasoning process of the model are studied.Moreover,approaches to representing and reasoning rules based on object chains and parameter tables are proposed respectively for Continuous Relation knowledge rules and Homomorphic Hetero-parameter knowledge rules,to improve the representation ability and the scene adaptability level of process ability knowledge.The application validations demonstrate the feasibility and effectiveness of the above approach,as well as support for analysis extensions based on newly created knowledge objects.In order to further improve the quality and efficiency of part process specification planning,the concept of feature group is proposed through the study of part manufacturing laws at the level of machining features,an derivation-reasoning mixed method of part process specification generation based on feature groups is established.The method takes feature group as the basic object and guides the computer to complete the part process palnning through human control of the two stages of process route derivation and process parameter reasoning,providing a way to implement human-computer synergy process specification generation.To realize the matching and derivation of process route for feature groups,a feature group similarity calculation model containing 8 features is established,and the similarity calculation method for feature group is studied.The results of the comparison with the shape distribution algorithm show that the method can achieve manufacturing semantic-oriented feature group similarity calculation.The validations show the feasibility and effectiveness of the above method,which can realize the rapid generation of part process specification through human-machine synergy.In order to solve the problem of economic analysis of part process specification,the law between the formation of man-hours cost and part machining is studied,a mathematical model of man-hours cost based on the average material removal rate per step is constructed.On this basis,a method of estimating part man-hour cost based on step cutting feature is proposed,which realizes the automatic estimation of man-hours cost driven by process specification using a 3D intermediate state models of a part.To create the step cutting features,the concept of feature contour and augmented feature contour is introduced based on the idea of section contour,and a method of automatic generation of step cutting features based on the augmented feature contour is established to realize rapid automatic generation of step cutting features.The verification shows that this method can not only carry out rapid estimation for part man-hour cost according to process specification,but also be used for the automatic creation of 3D intermediate state models for a part.In order to verify the effectiveness of the above method in engineering applications,the above theoretical method was applied in the implementation of the human-machine synergy part process planning system HMCAPP and the engineering application verification was carried out.The results show that,compared with the existing methods,the number of part process ability defects decreases by 61.6%,the number of modifications on process route and parameter decreases by 20.0%,the part process planning efficiency increases by 59.6%,and the man-hour cost estimation time is shortened by 77.8%,indicating that this research achieves the goal of improving part process planning quality and efficiency.The research this dissertation provides theoretical methods and technical support for the integration and application of human-machine synergy and computer-aided process planning,and plays a positive role in promoting the transformation and upgrading of the manufacturing industry to intelligent manufacturing.