نتایج جستجو برای: resource efficiency machining
تعداد نتایج: 596351 فیلتر نتایج به سال:
introduction: the human resources are considered the main asset of any society. if used properly and effectively, it will create other sources and above all the added value. the quality of the life is usually dependent on the quality of human professional life including factors such as job security, services and welfare pensions, health services, income, and job quality. the purpose of this stu...
Ultrasonic machining (USM) is a mechanical material removal process used to erode holes and cavities in hard or brittle work pieces by using shaped tools, high-frequency and an abrasive slurry. This paper addresses the concept and development of an expert system (ES) for hard and brittle material, such as glass, quartz, diamond, carbides, semi conducting materials, ceramic and graphite which ca...
Energy efficiency has become an important factor that should be included in Intelligent Manufacturing due to the increasingly rising energy price and severe energy shortage issues. Energy demand modeling method is the foundation of improving the energy efficiency of manufacturing; therefore, an energy demand modeling methodology for machining processes is proposed. In this method, machining pro...
Optimal and intuitive robotic machining is still a challenge. One of the main reasons for this is the lack of robot stiffness, which is also dependent on the robot positioning in the Cartesian space. To make up for this deficiency and with the aim of increasing robot machining accuracy, this contribution describes a solution approach for optimizing the stiffness over a desired milling path usin...
this research aims at presenting a consolidated model of data envelopment analysis (dea) technique and value engineering to select the best manufacturing methods for gate valve covers and ranking the methods using topsis.to do so, efficiency evaluation indices were selected based on the value engineering approach and different manufacturing methods were evaluated using dea technique.finally, ef...
This paper describes a method of machining feature recognition from a freeform surface based on the relationship between unique machining patches and critical points on a component’s surface. The method uses Morse theory to extract critical surface points by defining a scalar function on the freeform surface. Features are defined by region growing between the critical points using a tool path g...
ultrasonic machining (usm) is a mechanical material removal process used to erode holes and cavities in hard or brittle work pieces by using shaped tools, high-frequency and an abrasive slurry. this paper addresses the concept and development of an expert system (es) for hard and brittle material, such as glass, quartz, diamond, carbides, semi conducting materials, ceramic and graphite which ca...
The pursuit of sustainable resource use by manufacturing companies is driven by resource scarcity, environmental awareness, and cost savings potentials. To address these issues, Material Flow Cost Accounting (MFCA) has been developed and applied as an effective environmental management tool. Within MFCA’s general allocation, the accounts of products and losses are overrated by weight or volume....
Optimization of machining parameters is a vital task for increasing machining efficiency and economics. Selection of optimal machining parameters is often performed by integrating empirical models with traditional mathematical and meta-heuristic algorithms. Ability to deal with complex and multi-dimensional optimization problems resulted in growing interest on the application of meta-heuristic ...
Abrasive flow machining (AFM) is a manufacturing technique that uses the flow of a pressurized abrasive media to remove work piece material. In comparison with other polishing technique, AFM is very efficient, suitable for the finishing of complex inner surfaces. In recent years, hybrid-machining processes have been developed to improve the efficiency of a process by clubbing the advantages of ...
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