A Study On The Methodology Of Process Planning And Evaluating For Cleaner Production In Facing Building Stone Processing Industry

Cleaner production (CP) is a kind of sustainable manufacturing mode with remarkable environmental and economic benefits. Clean and green process planning is one of the important research contents of implementation cleaner production in stone processing industry, and has critical significance in reducing resources consuming and offal discharge during the production process. Aiming at the status in classical methods of green process planning and the deficieny when they were applied in stone processing sector, the research on the process planning and evaluating method of facing building stone sector for cleaner production is set as a key route, to comparatively deep study the resource and environmental characterictic of stone machining process, optimal selection paths of process factors (such as processing equipment, processing tool and cooling liquid), optimal methods of process parameters, as well as the evaluation techniques of process scheme and production process. Finally, to offer a series of common technologies or methods for CP process planning and implementating in stone prcossing sector.Based on the analysis of the basic concepts of process planning of facing building stone processing, the situation of resource consumption and environmental impact in production processes, and the need of cleanliness for CP in stone processing sector, the connotation and system structure of process planning for CP are established, and the technology contents of process planning for CP are presented also.It is pointed that the process planning of facing building stone actually is made up of serials of decision-making theory processes which include the optimal selection and decision of the crafts type, processing equipment, processing tool, cool liquid and process parameters, etc. The CP process planning problem was studied based on the Multiple-Criteria Dec is ion-Making (MCDM) theory model set, and the framework of the process planning theory mathematic model as well as the generalized form of the application mathematic model of facing building stone processing were established.The concept of "Appropriate Technology (AT)" was introduced into the decision problem of selection of the stone processing equipment in chapter 4. The LCA technique was intergrated with the framework of Multiple-Abtributte Dec is ion-Making (MADM) theory, and then the basic flow of the AT dec is ion-making route was formulated, which includes:selecting the benchmarking scheme, determining the alternatives, establishing the indicator system of dec is ion-making and contruct the decision algorithm. The checklist of LCA was established from the aspects of environment, economy and technology. The results of LCA were used as the inputs of indcators of MADM mode. The optimal dec is ion-making mathematic model of AT scheme of stone processing was established; in the meanwhile, the methods of data collection and evaluation of decision indicator were demonstrated. The algorithm of decision model constructed based on combining the Analytic Hierarchy Process (AHP) approach with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method.The effects of green performances of stone processing tool and liquid were studied. Based on the target system of CP process planning, the decision target systems of optimal selection of the stone processing tool and cool liquild were established respectively according to the factors of their selection process. The decision vectors in the target system were broke up into decision indicators. The two decision target systems were embeded into the theory framework of MADM. Then the decision-making models of selection of processing tool and cool liquild for CP were constructed.The method and technology rounte of optimation of process paremeter for CP were built based on the theory framework of Multiple-Objective Dec is ion-Making (MODM) problem. The application study has been researched on the diameter circular saw equipment which is the most widely used technology in the block sawing process.Based on analysis of the reason of nodal diameter transverse vibration of thin type circular saw in sawing the stone, it was found out that the wave of the wavy deformation of traveling wave on the saw edge lead to the additional axial force of sawing force. The mathematical model of axial additional force was deduced by traveling wave theory in a rotating coordinate system with the same rpm as the diamond circular saw, and then the transverse vibration model of diamond saw blade was built by using the thin plate theory of elastic mechanics. The model was pretreated by using complex analysis theory and some proper mathematical methods. The solving algorithm for transverse vibration model and the simulation grogram was designed based on the Newmark Method. The MODM optimization model of process paremeters have been established based on the axial dynamic model of saw blade. The solving algorithm of MODM model was studied based on the discrete variable grid method. The comparsions between the results of single objective optimization and the MODM model’s were displayed in charper 6, which illustrated the rationality of the implementation of the MODM model for optimizing the process parameters.The concept of Cleaner Production characteristic was put forward to deal with the difficulty of expression of the green information for the process scheme of facing stone, which caused by the lack of green process database. The method of information identification, selection, extraction and aggregation from the process scheme were studied. The relationship between the "planning domain" of process scheme and "target domain" of cleaner production was constructed. The cleaner production evaluation mechanism for the process scheme of facing stone was built. Aiming at the situation of the locking the driving force of pursuing the environmental benefits in stone industry, the route of CP auditing assessment for stone processing sector had been formulated. The CP evaluation indictor system and criteria were established, and the methods of establishing the criteria and the data collecting were demonstrated. The CP comprehensive evaluation algorithm was built by combining the AHP approach with fuzzy set theory. The programe system of CP comprehensive evaluation for stone processing industry was developed on the MATLAB software platform.