scispace - formally typeset
Search or ask a question
Topic

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.


Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the optimized process parameter combinations in end milling of AISI D3 steel to yield low surface roughness and maximum dish angle using trochoidal milling tool path were explored.
Abstract: Tool steel play a vital role in modern manufacturing industries due to its excellent properties. AISI D3 is a cold work tool steel which possess high strength, more hardenability and good wear resistance properties. It has a wide variety of applications in automobile and tool and die making industries such as blanking and forming tools, high stressed cutting, deep drawing and press tools. The novel ways of machining these steels and finding out the optimum process parameters to yield good output is of practical importance in the field of research. This research work explores an attempt to identify the optimized process parameter combinations in end milling of AISI D3 steel to yield low surface roughness and maximum dish angle using trochoidal milling tool path, which is considered as a novelty in this study. 20 experimental trials based on face centered central composite design (CCD) of response surface methodology (RSM) were executed by varying the input process factors such as cutting speed, feed rate and trochoidal step. Analysis of variance (ANOVA) was adopted to study the significance of selected process parameters and its relative interactions on the performance measures. Desirability-based multiple objective optimization was performed and the mathematical models were developed for prediction purposes. The developed mathematical model was statistically significant with optimum conditions of cutting speed of 41m/min, feed rate of 120 mm/min and trochoidal step of 0.9 mm. It was also found that the deviation between the experimental and predicted values is 6.10% for surface roughness and 1.33% for dish angle, respectively.

14 citations

Patent
27 Sep 2002
TL;DR: In this article, a method for controlling resin properties during the production of polyolefins is presented, which utilizes coordinated manipulation of reaction temperature in combination with a secondary process variable to control resin flow properties to rapidly respond to manufacturing upsets or specification changes.
Abstract: A method for controlling resin properties during the production of polyolefins is provided. The method utilizes coordinated manipulation of reaction temperature in combination with a secondary process variable to control resin flow properties to rapidly respond to manufacturing upsets or specification changes to minimize off-grade or transition polymer material when moving from one polymer grade to another, or during a disturbance in a steady state production.

14 citations

Journal ArticleDOI
TL;DR: In this paper, an analysis of the effect of process parameters on the height replication of microstructures on light-guiding plates produced by micro-injection molding (MIM) and microinjection-compression moulding (MICM) is presented.
Abstract: An analysis of the effect of process parameters on the height replication of microstructures on lightguiding plates produced by micro-injection moulding (MIM) and micro-injection–compression moulding (MICM) is presented. The plates, of the size employed for LCD displays on digital cameras, feature microstructures with a radius from 100 to 300μm, increasing linearly from the thin to the thick end of the plate. A single-parameter method was employed. For MIM, the most important process parameter for replication was found to be mould temperature, followed by packing pressure and melt temperature; and for MICM, mould temperature, followed by compression distance and melt temperature. Mould temperature is clearly the most significant factor for both processes. Height replication was found to be better for MICM than for MIM.

14 citations

Journal ArticleDOI
TL;DR: In this paper, a finite element simulation of the glass pressing process is proposed, where glass is supposed to be a Newtonian fluid, the mould is considered as a thermo-elastic material, thermal transfer between glass and mould depends only on time and radiative heat transfer in glass is not taken into account.

14 citations

Journal ArticleDOI
TL;DR: In this article, a stochastic batch process is used to maximize overall lumber quality within a reasonable drying time, and the final product value can be inferred through a stochy process model which in turn can be updated for accuracy by an observed process variable.

14 citations


Network Information
Related Topics (5)
Microstructure
148.6K papers, 2.2M citations
81% related
Ultimate tensile strength
129.2K papers, 2.1M citations
79% related
Coating
379.8K papers, 3.1M citations
78% related
Alloy
171.8K papers, 1.7M citations
77% related
Nanocomposite
71.3K papers, 1.9M citations
76% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202329
202266
2021289
2020318
2019281
2018274