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.

Effect of the process parameters on the three-dimensional shape of molten pool during full-penetration laser welding process

Abstract: The present study designs a low-cost method for determining the three-dimensional (3D) shape of a molten pool formed during a laser full penetration welding process and verifies the feasibility and reproducibility of this method. A dissimilar metal is introduced into the molten pool at the instant when the laser full penetration welding process is about to finish. Under intense stirring, the dissimilar elements are rapidly distributed in the entire molten pool. After the molten pool rapidly solidifies, the 3D shape of the region of the weld seam metal that contains the dissimilar elements can be approximately considered to be the 3D shape of the molten pool. In the present study, 2205 duplex stainless steel is selected as the dissimilar metal, and a test for detecting the 3D shape of a molten pool formed during a fiber laser full penetration welding process is performed on a 5.5-mm-thick low carbon steel plate. The results show that the method designed to detect the 3D shape of molten pool in laser full penetration welding process exhibits good feasibility and reproducibility, and this method can be used to realize the reconstruction of the 3D shape of molten pool in laser full penetration welding process. Welding experiments based on the three-factor and five-level regression orthogonal design are carried out to obtain the ternary quadratic regression equations of the relationships between the welding process parameters (welding power, welding speed, and defocusing distance) and the geometric shape parameters of the molten pool (the lengths and widths of the top, middle, and bottom sections of the molten pool). The significance of the regression equations is then tested. The effect of each process parameter on the 3D shape of the molten pool formed in laser full penetration welding process is discussed based on the regression equation.

Optimasi Parameter Proses 3D Printing FDM Terhadap Akurasi Dimensi Menggunakan Filament Eflex

Abstract: Fused Deposition Modeling (FDM) is a 3D Printing technique used to print products using filaments as material. The printed product has ideal geometric characteristics if it has meticulous size and perfect shape. One type of material that can be processed using 3D Printing FDM is flexible material. Research in terms of dimensional accuracy has been carried out on PLA and ABS materials. While research using flexible materials is still rarely done. From these problems, we need a study to get the process parameter settings on a 3D Printer machine that is optimal in obtaining dimensional accuracy using flexible materials. The research was carried out using the Prusa model DIY (Do It Yourself) 3D machine with FDM technology. The material used is Eflex type flexible filament with a diameter of 1.75 mm. The process parameters used in this study are flowrate, layer thickness, temperature nozzle, speed printing, overlap, and fan speed. Cuboid test specimens measuring 20 mm × 20 mm × 20 mm. Process parameter optimization using the Taguchi L27 Orthogonal Array method for dimensional accuracy testing. Optimal process parameter values for obtaining X dimension accuracy are 110% flowrate, 0.10 mm layer thickness, 210 °C nozzle temperature, 40 mm/s print speed, 75% overlap, and 50% fan speed. Y dimension is 120% flowrate, layer thickness 0.20 mm, nozzle temperature 230 °C, print speed 30 mm/s, overlap 75%, and fan speed 100%. As well as the Z dimension is 120% flowrate, layer thickness 0.30 mm, nozzle temperature 210 °C, print speed 30 mm/s, overlap 50%, and fan speed 100%.

Process Variables Optimisation of Polypropylene Based Fibre-Metal Laminates Forming Using Finite Element Analysis

Abstract: This study investigates the effect of preheat temperature, blank holder force and feed rate on the formability of polypropylene based Fibre-Metal Laminates. Finite element method combined with Design of Experiments was used to determine the influence of the forming process parameters. The design of experiments was used to identify the relative influence of each process parameter considered in this study. A reduced set of coupled structural-thermal simulations using Ls-Dyna were carried out using a L9 orthogonal array. Simulations were carried out on the forming of domes. It was found that the blank holder force has the greatest influence to increase the minor/major ratios followed by feed rate and pre heat temperature. A more thorough investigation of preheat temperature illustrated an optimum preheat temperature at 130 °C.

Stochastic Simulation of Material and Process Effects on the Patterning of Complex Layouts

Abstract: The whole process of stochastic lithography simulation combined with an electron-beam exposure pattern convolution module, could be useful in the validation of design rules taking into account fine details such as line-edge roughness, and for simulating the layout before actual fabrication for design inconsistencies. Material and processing effects would result in even greater feature degradation if not properly controlled. Therefore, material and process parameter can no more be considered of second order importance in proximity effect quantification. Line-width roughness quantification should accompany critical dimension (CD) measurements since it is shown that it could be a large fraction of the total CD in the sub-100 nm length scales. The effects of exposure, material and processes on layouts are presented in this work using a combination of electron beam simulation for the exposure part, and stochastic simulations for the modeling of resist film, and the post-exposure bake and resist dissolution. Particular examples of line-width roughness and critical dimension non-uniformity due to proximity, material, and process effects on complex layouts will be investigated.

Method of detecting, identifying and correcting process performance

Abstract: A method for material processing utilizing a material processing system (1) to perform a process. The method performs a process, measures a scan of data, and transforms the data scan into a signature including at least one spatial component. The scan of data can include a process performance parameter (14) such as an etch rate, an etch selectivity, a deposition rate, a film property, etc. A relationship can be determined between the measured signature and a set of at least one controllable process parameter (12) using multivariate analysis, and this relationship can be utilized to improve the scan of data corresponding to a process performance parameter. For example, utilizing this relationship to minimize the spatial components of the scan of data can affect an improvement in the process uniformity.