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In this paper a complete and inexpensive CNC milling chatter monitoring system is presented. By using a MEMS (Micro-Electro Mechanical System) accelerometer as a transducer mounted on the machine table, Arduino was used in a data acquisition platform and open source software to analyze the data in a completely functional chatter detection device. Initially the system was used to identify the main...
This paper describes the implementation of a manufacturing monitoring system using RFID, wireless, and plug-and-play technologies. The system gathered information about time and work in process (WIP), enabling process waste identification, production according to takt time, activity balance, and production capacity assessment. The method comprises the development of an RFID reader, a middleware, a...
A significant amount of mechanical parts is manufactured by milling, and the process of 2.5D rough milling is responsible for removing most of the material, while the finishing stage can be performed in machines with up to 5 axes. 2.5D milling is defined as the process composed of a series of 2D paths on the XY plane at different Z levels. A high material removal helps to reduce manufacturing time,...
The appropriate choice of the physical layout of the shop floor is fundamental for the viability of an industrial activity in the current globalized and highly competitive economy. More and more specialized products, with successively shorter life cycles seek to respond to the frequent market changes, demanding an agile and flexible industrial system that at the same time is economically efficient...
When executing a manufacturing process, under some circumstances nonconformances may occur in the part, which result in problems such as worker stress, line stoppage, delay in product shipping, and customer loss. In order to reduce or eliminate the above problems, when a nonconformance is identified, it is very important that the possible causes are determined and their solutions put into practice...
Potential Failure Modes and Effects Analysis in Manufacturing and Assembly Processes (PFMEA) is an important preventive method for quality assurance, and through it the decisions based on the severity levels and probabilities of occurrences and detection of the failure modes can be planned and prioritized, seeking to improve the quality of the manufactured products. This activity generates a valuable...
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