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Research On Spinneret Of Bottom Hole Automatic Processing

Posted on:2014-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:B GaoFull Text:PDF
GTID:2271330482483287Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
Spinneret, one key component of a spinning machine, is an important equipment for the manufacture of chemical fibers. The high precision of spinneret is the crucial element to ensure the quality of fiber goods and spinning technology. The performance of fiber products is directly with the spinneret hole type, structure and precision. The spinneret is a precision part with high accuracy requirements of each process, in which the channels belong to the typical large depth and width with the tiny hole machining processing, channel processing time accounted for 80% of the time throughout the spinneret processing. The processing quality and time of the bottom directly affect the spinneret processing time and the quality of the subsequent fiber forming.The domestic spinneret factory usually use manual methods of bottom hole processing, that is first with a twist drill roughing and then with a spade drill reaming the hole bottom. Existing bottom hole of the spinneret process inevitably will occur the tools do not match the bottom of the hole, tool wear, drill break, drill cuttings accumulation and other issues. Even if a little negligence will cause the entire board scrapped. Therefore, we must study drills, the cutting process and automatic monitoring to achieve the automated processing of bottom hole and develop a tool monitoring, wear detection, chip removal and other functions in one automated processing equipment and process.This paper first introduces the situation and development of the domestic and international spinneret processing, analysis of the problems of bottom hole processing inner and abroad, the dimensional accuracy requirements and processing process of the bottom hole. Foreign countries almostly achieve CNC-machine manufacture, the domestic rely on traditional manual processing with problems of tool break, bottom thickness is not uniform and inefficient processing and so on.Secondly, to solve difficulties about small blind hole chip removal, tool wear compensation and spade drill easily broken we put forward to use spindle Hollow CNC to clear debris with G code, tool wear compensation and tool online break detection and other special features on the bottom fully automated processing equipment. We firstly achieve the automatic processing of the spinneret bottom, processing surface finish up to 1.6 and bottom thickness with ± 0.5 μm.In the automatic processing of the bottom hole of the spinneret spinneret, traditional process does not adapt to the automated processing system, and therefore it need to optimize. The issues focus on to develop drilling characteristics of different materials, cutting parameter optimization and the angle optimization suitable with spade drill. The issues also put forward to using method of NC program suspended to guarantee bottom thickness owing to tiny drill rigid. Spade drill is the most important tool in the hole machining, owing to the influence on the spinning of different angles drill, the issues design the different angles of the spade drill to manufacture hole bottom and drawn corresponding optimal cutting parameters through the test. For the problem of spade drill broken, we use the tip chamfer method to optimize and summarize the various problems arising in the actual processing, we finally achieve fully automated processing target through reasonable adjustment each factor.Finally, on the basis of these studies, we design tool online observation system to optimize the above processing, before processing we use this system to detect tool pulse, greatly increase the number of holes by each drill and improve the quality and efficiency of processing. This product fills the spinneret processing field blank of the domestic and has been put into production in factory.
Keywords/Search Tags:Spinneret, Bottom hole, Spade drill, Optimum structure, Online observation
PDF Full Text Request
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