scholarly journals Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens

2021 ◽  
Author(s):  
Viny Saajan Victor ◽  
Andre Schmeisser ◽  
Heike Leitte ◽  
Simone Gramsch
Keyword(s):  
Process Parameters ◽  
Industrial Production ◽  
Trial And Error ◽  
Digital Twin ◽  
Technical Textiles ◽  
Production Processes ◽  
Domain Expertise ◽  
Visual Parameter ◽  
Visualization Techniques

The quality of the technical textiles, in particular nonwovens, depends on the process parameters involved in producing them. It is not practical to investigate the effect of these parameters in real-time. Hence, a digital twin has been developed to analyze nonwoven production processes. The quality of the virtually produced nonwovens from the digital twin is then analyzed and mapped back to the process parameters. Different visualization techniques can be incorporated to guide engineers in finding optimal combinations of these process parameters for obtaining the desired product quality. This would eliminate the traditional trial and error strategies and reduce the domain expertise required in such an analysis. In this paper, we present a visual analytic tool that aids the engineer in analyzing and optimizing the quality of the nonwovens, thereby helping to make beneficial decisions in the industrial production process.

scholarly journals Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens

2021 ◽  
Author(s):  
Viny Saajan Victor ◽  
Andre Schmeisser ◽  
Heike Leitte ◽  
Simone Gramsch
Keyword(s):  
Process Parameters ◽  
Industrial Production ◽  
Trial And Error ◽  
Digital Twin ◽  
Technical Textiles ◽  
Production Processes ◽  
Domain Expertise ◽  
Visual Parameter ◽  
Visualization Techniques

The quality of the technical textiles, in particular nonwovens, depends on the process parameters involved in producing them. It is not practical to investigate the effect of these parameters in real-time. Hence, a digital twin has been developed to analyze nonwoven production processes. The quality of the virtually produced nonwovens from the digital twin is then analyzed and mapped back to the process parameters. Different visualization techniques can be incorporated to guide engineers in finding optimal combinations of these process parameters for obtaining the desired product quality. This would eliminate the traditional trial and error strategies and reduce the domain expertise required in such an analysis. In this paper, we present a visual analytic tool that aids the engineer in analyzing and optimizing the quality of the nonwovens, thereby helping to make beneficial decisions in the industrial production process.

CONTROL IN REAL TIME THE DENSITY OF PRODUCT AT VARIOUS STAGES OF THE TECHNOLOGICAL PROCESS OF SUGAR PRODUCTION

2020 ◽  
Author(s):  
S.B. Kudryashev ◽  
◽  
N.S. Assev ◽  
R.D. Belashov ◽  
V.A. Naumenko ◽  
...  
Keyword(s):  
Real Time ◽  
Technological Process ◽  
Sugar Industry ◽  
Sugar Production ◽  
Production Processes ◽  
Quality Of Products

The article is devoted to solving one of the most important problems of the development of the sugar industry in Russia – the modernization of sugar production processes. Today, sugar production is actively being modernized, shifting most of its processes to the path of avomatization and optimization to improve the quality of products. This article describes one of the main ways to obtain information about the concentration of sucrose in syrup in the production of sugar.

Application Of Cusum Chart In Control Of Paper Quality

GIS Business ◽  
2020 ◽  
Vol 14 (6) ◽  
pp. 1062-1069
Author(s):  
S.Ramesh ◽  
B.A.Vasu
Keyword(s):  
Process Parameters ◽  
Manufacturing Process ◽  
Paper Industry ◽  
Primary Data ◽  
Cusum Chart ◽  
Paper Machine ◽  
Statistical Control ◽  
Operating Characteristics ◽  
Small Shift

This paper is an attempt to assess if the manufacturing process of paper machine is in statistical control thereby improving the quality of paper being produced in a paper industry at the time of process itself. Quality is the foremost criteria for achieving the business target. Therefore, emphasis was made on controlling the quality of paper at the time of manufacturing process itself, rather than checking the finished lots at a later time.  This control on quality will help the industry deduct the small shift in the process parameters and modify the operating characteristics at the time of production itself rather than receiving complaints from customers at a later stage.  This paper describes controlling quality at the time of manufacture itself and helps the industry to concentrate on quality at low cost. The researcher has collected primary data at a leading paper industry during October, 2019.  Though X-bar and Range charges were primarily used, CUSUM charts were used to sense the minor shifts in manufacturing process, to explore the possibility of adjusting process parameters during manufacture of paper.

scholarly journals Effects of Process Parameters on the Color Quality of Anthocyanin-Based Colorants from Conventional and Microwave-Assisted Aqueous Extraction of Sweet Potato (Ipomoea batatas L.) Leaf Varieties

Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 103
Author(s):  
Jin Mark D. G. Pagulayan ◽  
Aprille Suzette V. Mendoza ◽  
Fredelyn S. Gascon ◽  
Jan Carlo C. Aningat ◽  
Abigail S. Rustia ◽  
...  
Keyword(s):  
Sweet Potato ◽  
Process Parameters ◽  
Ipomoea Batatas ◽  
Extraction Methods ◽  
Aqueous Extraction ◽  
Potato Leaf ◽  
Microwave Assisted ◽  
Color Quality ◽  
The Impact

The study aimed to evaluate the effects of process parameters (time and raw material weight (RMW)) of conventional (boiling for 10–45 min) and microwave-assisted (2–8 min) aqueous extraction on the color quality (i.e., lightness (L*), chroma (C*), and hue (H°) of anthocyanin –based colorants of red and Inubi sweet potato (Ipomoea batatas L.) leaves. Using response surface methodology, it was found that RMW and boiling time (BT) and microwave time (MT) generally had a significant (p < 0.05) effect on the color quality of the extract from both extraction methods. The effects were found to vary depending on the extraction method and variety of the leaves used. Both extraction methods produced a brown to brick-red extract from the Inubi variety that turned red-violet to pink when acidified. The red sweet potato leaves produced a deep violet colored extract that also turned red-violet when acidified. It is recommended that the anthocyanin content of the extracts be measured to validate the impact of the methods on the active agent. Nevertheless, the outcomes in this study may serve as baseline data for further studies on the potential of sweet potato leaf colorants (SPLC) as a colorant with functional properties.

Multi-objective optimization of injection-molded plastic parts using entropy weight, random forest, and genetic algorithm methods

2020 ◽  
Vol 40 (4) ◽  
pp. 360-371
Author(s):  
Yanli Cao ◽  
Xiying Fan ◽  
Yonghuan Guo ◽  
Sai Li ◽  
Haiyue Huang
Keyword(s):  
Genetic Algorithm ◽  
Random Forest ◽  
Regression Model ◽  
Process Parameters ◽  
Multi Objective Optimization ◽  
Entropy Weight ◽  
Multi Objective ◽  
Injection Molded ◽  
Plastic Parts

AbstractThe qualities of injection-molded parts are affected by process parameters. Warpage and volume shrinkage are two typical defects. Moreover, insufficient or excessively large clamping force also affects the quality of parts and the cost of the process. An experiment based on the orthogonal design was conducted to minimize the above defects. Moldflow software was used to simulate the injection process of each experiment. The entropy weight was used to determine the weight of each index, the comprehensive evaluation value was calculated, and multi-objective optimization was transformed into single-objective optimization. A regression model was established by the random forest (RF) algorithm. To further illustrate the reliability and accuracy of the model, back-propagation neural network and kriging models were taken as comparative algorithms. The results showed that the error of RF was the smallest and its performance was the best. Finally, genetic algorithm was used to search for the minimum of the regression model established by RF. The optimal parameters were found to improve the quality of plastic parts and reduce the energy consumption. The plastic parts manufactured by the optimal process parameters showed good quality and met the requirements of production.

scholarly journals Study on the Influence of Surface Temperature Field of Aluminum Alloy Etched by Laser Water Jet Composite Machining

Materials ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3206
Author(s):  
Xuehui Chen ◽  
Xin Xu ◽  
Wei Liu ◽  
Lei Huang ◽  
Hao Li ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Temperature Field ◽  
Surface Temperature ◽  
Process Parameters ◽  
Water Jet ◽  
Laser Machining ◽  
Material Surface ◽  
Laser Etching ◽  
Surface Temperature Field

This paper studies the compound effect of liquid medium and laser on the workpiece and analyses the law of material surface temperature change during the processing. Taking 7075-T6 aluminum alloy as the research object, the surface temperature field of aluminum alloy processed using water-jet-assisted laser machining under different process parameters was simulated using finite element software. In addition, the temperature field of the material surface was detected in real-time using the self-built water-jet-assisted laser machining temperature field detection system, and the processing results were observed and verified using an optical microscope, scanning electron microscope, and energy spectrum analyzer. The results show that when the water jet inflow angle is 45°, the heat-affected area of the material surface is the smallest, and the cooling effect of the temperature field of the material surface is better. Considering the liquidus melting point of 7075 aluminum alloys, it is concluded that the processing effect is better when the water jet velocity is 14 m·s−1, the laser power is 100 W, and the laser scanning speed is 1.2 mm·s−1. At this time, the quality of the tank is relatively good, there are no cracks in the bottom of the tank, and there is less slag accumulation. Compared with anhydrous laser etching, water-jet-assisted laser etching can reduce the problems of micro-cracks, molten slag, and the formation of a recast layer in laser etching and improve the quality of the workpiece, and the composition of the bottom slag does not change. This study provides theoretical guidance and application support for the selection and optimization of process parameters for water-jet-assisted laser etching of aluminum alloy and further enriches the heat transfer mechanism of multi-field coupling in the process of water-jet-assisted laser machining.

scholarly journals Effect of process parameters on longitudinal weld seam quality of aluminum alloy profile for an automobile fuel tank protector

2020 ◽  
Vol 50 ◽  
pp. 159-167
Author(s):  
Wenlin Chen ◽  
Chen Xu ◽  
Penglin Pan ◽  
Xiangming Ruan ◽  
Hongxuan Ji
Keyword(s):  
Aluminum Alloy ◽  
Process Parameters ◽  
Weld Seam ◽  
Fuel Tank ◽  
Longitudinal Weld Seam

Boring-Rolling Process Research and Tooling Design of Hydraulic Cylinder

2013 ◽  
Vol 842 ◽  
pp. 634-638
Author(s):  
Yan Jing ◽  
Feng Zhao
Keyword(s):  
Process Parameters ◽  
High Efficiency ◽  
Hydraulic Cylinder ◽  
Rolling Process ◽  
Process Research ◽  
Cylinder Block ◽  
Process Route ◽  
Emerging Issues ◽  
Tooling Design

By comparison, this paper determines inner bore processing technic program of the engineering machinery hydraulic cylinder block and makes some analysis of the rolling processing technic and relevant emerging issues to propose reasonable and feasible process route and process parameters and ensure the quality of the cylinder processing. It also shows the design of boring-rolling compound tools with high efficiency and high precision for given cylinders.

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