Process variable

About: Process variable is a research topic. Over the lifetime, 3983 publications have been published within this topic receiving 43130 citations. The topic is also known as: process parameter.

Process Parameters Optimization in GFRP Drilling through Integration of Taguchi and Response Surface Methodology

Abstract: The purpose of this paper is to study the effect of process parameters such as spindle speed and feed, drill diameter and point angle, and material thickness on thrust force and torque generated during drilling of Glass Fibre Reinforced Polymer (GFRP) composite material using solid carbide drill bit. Full factorial Design of Experiments (DOE) has been adopted and the results indicate that spindle speed is the main contributing parameter for the variation in the thrust force and drill diameter is the main contributing factor for variation in torque. The optimum combination of process parameter settings has been found out using the integration of Taguchi method and Response Surface Methodology.

Control of a process variable by a computer and a controller which replaces the computer

Abstract: A method and apparatus for controlling a process variable wherein the variable is controlled primarily by a digital computer but where a part of the control function is performed by an analog controller. When the control is by the computer, an output signal is passed intermittently from the computer to a memory amplifier, the output signal of which is a control signal that may be used for correcting the process variable. When control is by the controller, the memory amplifier operates as a summing amplifier for negative feedback control.

Methods and apparatus for sequentially alternating among plasma processes in order to optimize a substrate

Abstract: In a plasma processing system, a method for optimizing etching of a substrate is disclosed. The method includes selecting a first plasma process recipe including a first process variable, wherein changing the first process variable by a first amount optimizes a first substrate etch characteristic and aggravates a second substrate etch characteristic. The method also includes selecting second plasma process recipe including a second process variable, wherein changing the second process variable by a second amount aggravates the first substrate etch characteristic and optimizes the second substrate etch characteristic. The method further includes positioning a substrate on a chuck in a plasma processing chamber; and striking a plasma within the plasma processing chamber. The method also includes alternating between the first plasma recipe and the second plasma recipe, wherein upon completion of the alternating, the first substrate etch characteristic and the second substrate etch characteristic are substantially optimized.

The ultrasonic burnishing of cobalt-chrome and stainless steel surface made by additive manufacturing

Abstract: The purpose of this paper is to investigate the post-processing of Co-Cr and 316L stainless steel components made by additive manufacturing (AM) using ultrasonic burnishing. AM is able to produce functional parts for medical and industrial applications; however, the parts require support removal and post-processing to achieve the technical requirements. To this end, ultrasonic burnishing is a formative method used to improve surface quality and increase surface hardness. The aim of this work is to characterize the effect of process variable (e.g. machine and workpiece relative displacements and spring compression) in the surface quality of AM burnished materials. Two separate design of experiments were performed to find optimal values for the process parameters. The analysis of the experimental result was performed using “Minitab 16” statistical software. To this end, an analysis of variance (ANOVA) was performed to study the effect and interactions of process parameter on the final surface quality. The results showed that surface roughness (Ra) was decreased to 0.18 µm for as-built Co-Cr and 0.55 µm for as-built 316L stainless steel. In addition, the relative increase in average hardness from as-built Co-Cr was 47.4% (i.e. 551.07 Hv) and 70.7% from as-built 316L stainless steel (i.e. 338.17 Hv). The optimal process parameters for post-processing Co-Cr material are around 0.05 mm/r for the feed and 1.5 mm for the spring compression, whereas post-processing of 316L requires 1000 mm/min for the feed speed, 0.025 mm for the side shift and 1 mm for spring compression, when taking also productivity into consideration. The results of this experiment show that the subtractive methods and labour-intensive post-processing of AM metal parts can be replaced by burnishing methods, thus reducing the cost barriers of additive technology and drive its adoption in industry.