All about Influence of laser structuring of PEEK, PEEK-GF30 - PubMed
80 MPa 330 C ISO 75-1/ -2 Other properties, Value, System, Test Standard, Density 1480 kg/m ISO 1183 Bulk density 690 kg/m - Processing Suggestion Injection Molding, Value, Unit, Test Standard, Pre-drying - Temperature 140 - 160 C - Pre-drying - Time 4 - 6 h - Processing humidity 0. 02 % - Melt temperature level 390 - 400 C - Mold temperature level 180 - 210 C - Zone 1 360 - 400 C - Characteristics, Processing, Injection Molding, Delivery kind, Pellets, Natural Color, Applications, Automotive, IT/ Business Device, Regional Accessibility, The United States And Canada, Europe, Asia Pacific, South and Central America, Disclaimer, Copyright M-Base Engineering + Software Gmb, H.
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An Unbiased View of SustaPEEK GF30 - ASTM - Röchling US
Source publication, This paper analyses the energy required during the dry drilling of PEEK GF30, a thermoplastic product, polyether-ether- ketone, enhanced with glass fiber. 3 different types of drills are utilized, respect to material and geometry, under nine cutting conditions based upon cutting speed of 6000, 7000 and 8000 rpm, and feed rate of 300, 400 and 500 m. ... Rosario studied the energy needed during the dry drilling of PEEK GF30 (polyetheretherketone) strengthened with glass fiber. ANOVA revealed that the type of drill is a more prominent factor and the optimal conditions are with the tool made of tungsten carbide with a diamond point at high cutting speeds and feed rate ...: In this paper, an effort is made to enhance the control parameters for the minimization of particular energy intake in turning GFRP composites using particle swarm optimization (PSO).
The control criteria thought about are cutting speed, feed, depth of cut and fiber orientation angle. Experiments are planned and performed according to Taguchi's L 25 orthogonal variety in the style of experiments on an all geared lathe with PCD cutting tool insert. A quadratic predictive design was developed for specific energy intake utilizing RSM and the ideal combinations of control criteria were determined using PSO.
