scholarly journals Optimization of Process Parameters for Robotic Fibre Placement

2018 ◽  
Vol 36 (4) ◽  
pp. 693-700
Author(s):  
Pan Zhao ◽  
Yaoyao Shi ◽  
Chao Kang ◽  
Tao Yu ◽  
Bo Deng ◽  
...  
Keyword(s):  
Process Parameters ◽  
Healing Process ◽  
Contact Process ◽  
Reliability And Validity ◽  
Optimum Process ◽  
Intimate Contact ◽  
Fiber Placement ◽  
Optimization Of Process Parameters ◽  
Cylindrical Parts

Compared with labour-intensive and time-consuming processing of conventional fabrication methods, the robotic fiber placement process greatly improves the flexibility of the fiber placement process and allows for the construction of more complex structures. Based on the study of the placement process, the intimate contact process and healing process were analysed theoretically. The key process parameters for affecting the quality of the composite component were put forward:hot gas torch temperature, compaction force and laying velocity. In order to analyse the fabrication process for laying the cylindrical parts with 0-degree tow direction, the model of the process parameters coupling affected the interlaminar bond strength was established, according to the design of the response surface method. The reliability and validity of the model were verified by the analysis of variance. The optimal process parameters of fiber placement were obtained. The results show that the model is effective and the optimum peeling force of the laying products is 24.1 N under the optimum process parameters.

scholarly journals Optimization of Process Parameters in CFRP Machining with Diamond Abrasive Cutters

2011 ◽  
Vol 223 ◽  
pp. 774-783 ◽  
Author(s):  
Aude Boudelier ◽  
Mathieu Ritou ◽  
Sebastien Garnier ◽  
Benoît Furet
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Optimum Process ◽  
Cutting Energy ◽  
Optimization Of Process Parameters ◽  
Trimmed Surface ◽  
Cutting Mechanisms ◽  
Limiting Values ◽  
Diamond Abrasive

The present paper proposes a methodology to optimize process parameters for trimming applications with diamond abrasive cutters. This methodology is based on the study of quality of trimmed surface, through material integrity and surface roughness, and on the study of cutting mechanisms. Their evolutions according to tool parameters and cutting conditions have been analysed. Results show that diamond grits size must be chosen according to the required surface roughness. Feedrate must respect cutting limitations due to CFRP removal mechanisms with abrasive cutters, which have been identify through analyses of specific cutting energy. Finally, a protocol in two steps is proposed to determine the optimum process parameters according to the application. Firstly, constraint functions due to respect of quality and to limiting cutting phenomena are defined. Thus, limiting values of process parameters are determined. Then, process parameters are selected in order to optimize productivity.

Optimization of Process Parameters for Production of Pectinase using Bacillus Subtilis MF447840.1

2019 ◽  
Vol 13 (1) ◽  
pp. 69-73 ◽  
Author(s):  
Ram Balak Mahto ◽  
Mukesh Yadav ◽  
Soumya Sasmal ◽  
Biswnath Bhunia
Keyword(s):  
Bacillus Subtilis ◽  
Process Parameters ◽  
Volume Ratio ◽  
Optimum Process ◽  
Agitation Rate ◽  
Fermentation Condition ◽  
Optimization Of Process Parameters ◽  
Food And Beverage ◽  
Pectinase Production ◽  
Sterile Product

Background: Pectinase enzyme has immense industrial prospects in the food and beverage industries. </P><P> Objective: In our investigation, we find out the optimum process parameters suitable for better pectinase generation by Bacillus subtilis MF447840.1 using submerged fermentation. </P><P> Method: 2% (OD600 nm = 0.2) of pure Bacillus subtilis MF447840.1 bacterial culture was inoculated in sterile product production media. The production media components used for this study were 1 g/l of pectin, 2 g/l of (NH4)2SO4, 1 g/l of NaCl, 0.25 g/l of K2HPO4, 0.25 g/l of KH2PO4 and 1 g/l of MgSO4 for pectinase generation. We reviewed all recent patents on pectinase production and utilization. The various process parameters were observed by changing one variable time method. </P><P> Results: The optimum fermentation condition of different parameters was noticed to be 5% inoculums, 25% volume ratio, temperature (37°C), pH (7.4) and agitation rate (120 rpm) following 4 days incubation. </P><P> Conclusion: Maximum pectinase generation was noticed as 345 ± 12.35 U following 4 days incubation.

scholarly journals A Rövid Betegségpercepció Kérdőív magyar változatának megbízhatósági vizsgálata

2021 ◽  
Vol 162 (6) ◽  
pp. 212-218
Author(s):  
Melinda Látos ◽  
György Lázár ◽  
Márta Csabai
Keyword(s):  
Quality Of Life ◽  
Posttraumatic Growth ◽  
Healing Process ◽  
Illness Perception ◽  
Reliability And Validity ◽  
Interdisciplinary Studies ◽  
Illness Perception Questionnaire ◽  
Hungarian Version ◽  
Brief Illness Perception Questionnaire

Összefoglaló. Bevezetés: Interdiszciplináris kutatásokkal igazolták, hogy a páciensnek a betegségéről kialakított elképzelései meghatározó szerepet játszanak a gyógyulási folyamat sikerességében. Célkitűzés: Vizsgálatunk célja az ezen elképzelések felmérésére kifejlesztett Rövid Betegségpercepció Kérdőív magyar nyelvű változatának megbízhatósági és validitási vizsgálata krónikus betegségben szenvedő, daganattal küzdő és transzplantált páciensek körében. Módszer: Keresztmetszeti vizsgálatunkban 490 páciens vett részt. A kérdőív validitásának vizsgálatára a Spielberger-féle Állapot- és Vonásszorongás Kérdőívet, a Beck Depresszió Kérdőívet és a Poszttraumás Növekedésérzés Kérdőívet alkalmaztuk, illetve felmértük a betegcsoportok életminőségét. Eredmények: A kérdőív belső megbízhatósága, a teszt-reteszt megbízhatósága kiváló. A konstruktumvaliditást vizsgálva közepesen erős összefüggést találtunk a szorongás, a depresszió, a poszttraumás növekedésérzés, az életminőség és a Rövid Betegségpercepció Kérdőív között. A prediktív validitást vizsgálva igazolást nyert, hogy a betegségpercepció összefüggésben áll a veseműködést jelző eGFR-szinttel (p = 0,027). A kérdőív diszkrimináns validitását igazolta, hogy képes különbséget tenni a különböző betegcsoportok között. Következtetés: A Rövid Betegségpercepció Kérdőív magyar verziójának reliabilitása és validitása a vizsgált populáción jónak mutatkozott. A kérdőív megbízható információt ad a pácienseknek a betegségükről kialakított elképzeléseiről. Orv Hetil. 2021; 162(6): 212–218. Summary. Introduction: Interdisciplinary studies confirm that patients’ illness perception can have a substantial effect on the healing process. Objective: The aim of this study was to assess the reliability and validity of the Hungarian version of the Brief Illness Perception Questionnaire in chronic disease, cancer, and transplant patients. Method: 490 patients were assessed using the Spielberger Anxiety Inventory, the Beck Depression Inventory, Posttraumatic Growth Inventory and quality of life questionnaires. Results: The scale showed good internal consistency, and the test-retest reliability was excellent. The Brief Illness Perception Questionnaire scores moderately correlated with anxiety, depression, posttraumatic growth and quality of life. Examining predictive validity, the questionnaire correlated with eGFR level (p = 0.027). The discriminant validity of the questionnaire was supported by its ability to distinguish between different patient groups. Conclusion: The reliability and validity of the Hungarian version of the Brief Illness Perception Questionnaire in the sample were excellent. The questionnaire turned out to be a useful psychometric tool in the measurement of illness perception. Orv Hetil. 2021; 162(6): 212–218.

scholarly journals Optimization of process parameters in the RF-DC plasma N2-H2 for AISI420 molds and dies

2019 ◽  
Author(s):  
Hengky Herdianto ◽  
Dionisius Johanes Djoko Herry Santjojo ◽  
Masruroh
Keyword(s):  
Process Parameters ◽  
Substrate Surface ◽  
Xrd Analysis ◽  
Iron Nitrides ◽  
Dc Plasma ◽  
Precision Forging ◽  
Optimization Of Process Parameters ◽  
Dc Bias ◽  
Substrate Surfaces

The RF-DC plasma N2-H2 was used to make precise AISI420 molds and dies have complex textured geometry. The quality of the molds and dies directly affect the quality of the produced parts. The excellent examples of molds were used for injection molding lenses and dies used for the precision forging of automotive drive train components. In this study, a temperature, DC bias, and duration as process parameters of the RF-DC plasma N2-H2 have been optimized for molds and dies fabrication. The mask-less micro-patterned method was utilized to draw the initial 2D micro patterns directly onto the AISI420 substrate surface. The unprinted substrate surfaces were selectively nitrided by the RF-DC plasma N2-H2 at 673 K for 5400 s by 70 Pa with hollow cathode device. Energy Dispersive X-ray was utilized to describe the nitrogen content distribution at the vicinity of the border between the unprinted surfaces. This exclusive nitrogen mapping proves that only the unprinted parts of the substrate have high content nitrogen solutes. XRD analysis was performed to investigate whether the iron nitrides were precipitated by RF-DC plasma N2-H2 in the AISI420.

Photostabilization of i-line Photoresist and ARC Layer

2012 ◽  
Vol 2012 (1) ◽  
pp. 000694-000701
Author(s):  
Zeliha YILMAZ ◽  
Murat PAK ◽  
Sema İMRAHORILYAS ◽  
Aylin ERSOY
Keyword(s):  
Process Parameters ◽  
Critical Dimension ◽  
Optimum Process ◽  
Thermal Processes ◽  
Negative Effects ◽  
Ramp Rate ◽  
Time Curve ◽  
Lithography Process ◽  
Optimization Of Process Parameters ◽  
High Degree

Stabilization after the lithography process is crucial in order to prevent deformation of photoresist patterns by other thermal processes used in semiconductor production. UV hardening is capable of minimizing negative effects of thermal processes such as rounded shaped lines; line width widening or shrinkage and CD shift. The amount of UV energy absorbed and final process temperature are important process parameters; which effect directly the degree of cross-linking. So, this paper examines optimization of process parameters such as the ramp rate, which is the tangent of the temperature-time curve (°C/sec) and the final temperature. Also the ramp rate indicates the time; that wafer is exposed to the high degree of UV energy. Process parameters are optimised with respect to the improvement of etch selectivity, decrease of the CD shift. Profile photos have been taken with Scanning Electron Microscope. In the experiments, the novolak based i-line photoresist and ICON-7 as anti reflecting coating are used for the lithography process. Many variables have been taken into consideration while determining optimum process parameters. These are resist thickness, type of the surface layer of wafer, magnitude of the critical dimension (&gt;1 μm & &lt; 1 μm ) and the size of the open area on the reticle used during exposure.

scholarly journals Review on Investigations Carried out on Burr Formation in Drilling During 1975 To 2020

2019 ◽  
Vol 16 (1) ◽  
pp. 43-57 ◽  
Author(s):  
Reddy Sreenivasulu ◽  
Chalamalasetti SrinivasaRao
Keyword(s):  
Process Parameters ◽  
New Technologies ◽  
Value Added ◽  
Vital Role ◽  
Machining Process ◽  
Burr Formation ◽  
Optimum Process ◽  
Drill Bit ◽  
Optimization Of Process Parameters ◽  
Almost All

Abstract Burr formation during machining process is a vital role in the assembly lines, even though it is a non value added process but also care should be taken while machining due to non avoiding output generated at the end of material removal process. At present almost all manufacturing sectors faces lot of problems due to these issues and invest more money towards deburring still advanced manufacturing methods available. So, complete burr removal is not possible and only thing is reducing utmost by applying better optimizing techniques, to develop good mechanization methods, selecting optimum process parameters and their conditions. The aim this paper deals about research methods implemented by earlier authors on burr formation especially in drilling. The reason why the present authors selected the drilling is number of automotive and aircraft engineers struggling during structural building works because of these burrs wherever precise measurement needed. In this connection, the authors concentrate their study on previous researcher works related to investigations on experimentation, developing new theoretical mechanisms to minimize burrs, adapt a new technologies available to modify drill bit geometries such that improvement in the minimization of burrs. Finally found that research contributions by changing their drill bit geometry and cutting process parameters have been focused on utilizing the methodologies, changing time to time. In analyzing the performance characteristics with that of input process parameters, several mathematical and empirical models were developed by many researchers so far in their works. Efforts have been made in the direction of optimization of process parameters in drilling for minimizing burr size.

Research on the Properties of Milling and the Process Parameters Optimization for Aluminum-Alloy Thin-Walled Parts

2010 ◽  
Vol 44-47 ◽  
pp. 2842-2846
Author(s):  
Xiao Hui Jiang ◽  
Bei Zhi Li ◽  
Jian Guo Yang ◽  
He Long Wu
Keyword(s):  
Aluminum Alloy ◽  
Process Parameters ◽  
Low Cost ◽  
Parameters Optimization ◽  
Milling Parameters ◽  
Milling Simulation ◽  
Optimization Of Process Parameters ◽  
Thin Walled ◽  
Parts Manufacturing

In this paper, with the milling processing of aluminum-alloy thin-walled parts as the research object, using software AdvantEdge, a milling simulation model is developed to study milling parameters affect on the cutting force, heat and catenation. It is found that by adjusting the ratio of milling parameters, the effects of cutting forces and heat can turn to the favorable direction of workpiece. In addition, we combine numerical simulation with experiments to explore the law of optimization of process parameters. It is discovered that the method of improving the milling speed and reducing the cutting depth properly can ensure the milling efficiency and the quality of the workpiece, providing a scientific insight for achieving high-quality, low-cost and efficient thin-walled parts manufacturing.

scholarly journals Critical Features in the Microstructural Analysis of AISI 316L Produced By Metal Additive Manufacturing

2020 ◽  
Vol 9 (1) ◽  
pp. 92-96 ◽  
Author(s):  
Abdollah Saboori ◽  
Mostafa Toushekhah ◽  
Alberta Aversa ◽  
Manuel Lai ◽  
Mariangela Lombardi ◽  
...  
Keyword(s):  
Process Parameters ◽  
Complex Shape ◽  
Microstructural Analysis ◽  
Optimum Process ◽  
Aisi 316L ◽  
Optimization Of Process Parameters ◽  
Clear Insight ◽  
Directed Energy ◽  
Insight Into ◽  
Metal Additive

AbstractDirected energy deposition (DED) process is recognized as an alternative technology to produce the complex-shape AISI 316L components. The critical production step in this technology is the optimization of process parameters that can directly affect the final properties of the components. To optimize the process parameters, the residual defects of specimens produced with different combinations of process parameters are evaluated, and the optimum condition is chosen. Therefore, the residual defects assessment is a vital step in finding the optimum process parameters; therefore, this evaluation should be carried out carefully. One of the main issues in the production of AISI 316L by DED process is oxidation during the process that should be considered besides the other defects such as porosity and cracks. However, the identification between the oxides and porosities is not an easy task, and so this study aims to provide more clear insight into the evaluation of pores and oxides in DED 316L samples. The outcomes of this work show that at the best process parameters suitable for a porosity-free sample, there are some oxides that can be misinterpreted as porosity and consequently deteriorate the mechanical properties of the dense sample.

Optimization of Process Parameters for Detonation Gun Coating Process through Greyrelation Analysis

2014 ◽  
Vol 592-594 ◽  
pp. 636-640
Author(s):  
K.N. Balan ◽  
S. Manimaran ◽  
M.A. Essam Ahamed ◽  
Amaladas John Rajan
Keyword(s):  
Process Parameters ◽  
Spray Coating ◽  
Aviation Industry ◽  
Optimum Process ◽  
Coating Process ◽  
Micro Hardness ◽  
Wear Resistant ◽  
Optimization Of Process Parameters ◽  
Marine Industry ◽  
Detonation Gun

Detonation gun spray coating method (D-Spray) is an effective method of coating process [4]. The surface property of material will be enhanced by deposition of coating powders such as metal oxides and ceramics like aluminium oxides, tungsten carbide, nickel chromium etc. which improves micro hardness, corrosion and wear resistant resistance property. This coating process is applicable in different engineering sectors such as aviation industry, marine industry, biomedical industry etc., In this Experimental study the Process parameter optimization of D-spray coating process with different coating powder was done by Taguchi design of experiment [2] and interrelationships among multiple response was analysed with Grey relation Analysis [2] in order to find the optimized processing conditions and to get higher quality of coating. Micro hardness Wear resistant, Surface roughness are the multiple responses estimated for various combinations of parameters and the optimum process parameters were obtained.

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