Optimal Processing Parameters of Electrostatic Crude Oil Desalting

2015 ◽  
Vol 7 (1) ◽  
pp. 72-78
Author(s):  
Mohamed Hassen Sellami ◽  
Hamza Bouguettaia ◽  
Reda Naam
Keyword(s):  
Crude Oil ◽  
Processing Parameters ◽  
Optimal Processing

scholarly journals Warpage Optimisation Using Recycled Polycar-bonates (PC) on Front Panel Housing

Materials ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1416
Author(s):  
Nur Aisyah Miza Ahmad Tamizi ◽  
Shayfull Zamree Abd Rahim ◽  
Abdellah El-hadj Abdellah ◽  
Mohd Mustafa Al Bakri Abdullah ◽  
Marcin Nabiałek ◽  
...  
Keyword(s):  
Simulation Analysis ◽  
Processing Parameters ◽  
Front Panel ◽  
Processing Parameter ◽  
Mechanical Recycling ◽  
Great Opportunity ◽  
Average Value ◽  
Optimal Processing ◽  
Materials Used ◽  
Optimisation Methods

Many studies have been done using recycled waste materials to minimise environmental problems. It is a great opportunity to explore mechanical recycling and the use of recycled and virgin blend as a material to produce new products with minimum defects. In this study, appropriate processing parameters were considered to mould the front panel housing part using R0% (virgin), R30% (30% virgin: 70% recycled), R40% (40% virgin: 60% recycled) and R50% (50% virgin: 50% recycled) of Polycarbonate (PC). The manufacturing ability and quality during preliminary stage can be predicted through simulation analysis using Autodesk Moldflow Insight 2012 software. The recommended processing parameters and values of warpage in x and y directions can also be obtained using this software. No value of warpage was obtained from simulation studies for x direction on the front panel housing. Therefore, this study only focused on reducing the warpage in the y direction. Response Surface Methodology (RSM) and Genetic Algorithm (GA) optimisation methods were used to find the optimal processing parameters. As the results, the optimal ratio of recycled PC material was found to be R30%, followed by R40% and R50% materials using RSM and GA methods as compared to the average value of warpage on the moulded part using R0%. The most influential processing parameter that contributed to warpage defect was packing pressure for all materials used in this study.

scholarly journals Binary Self-Assembly of Nanocolloidal Arrays using Concurrent and Sequential Spin Coating Techniques

Materials ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 274
Author(s):  
Shih-Jyun Shen ◽  
Demei Lee ◽  
Yu-Chen Wu ◽  
Shih-Jung Liu
Keyword(s):  
Silicon Substrate ◽  
Self Assembly ◽  
Spin Coating ◽  
Processing Parameters ◽  
The Self ◽  
Silicon Substrates ◽  
Processing Conditions ◽  
Polystyrene Spheres ◽  
Optimal Processing ◽  
Spin Coater

This paper reports the binary colloid assembly of nanospheres using spin coating techniques. Polystyrene spheres with sizes of 900 and 100 nm were assembled on top of silicon substrates utilizing a spin coater. Two different spin coating processes, namely concurrent and sequential coatings, were employed. For the concurrent spin coating, 900 and 100 nm colloidal nanospheres of latex were first mixed and then simultaneously spin coated onto the silicon substrate. On the other hand, the sequential coating process first created a monolayer of a 900 nm nanosphere array on the silicon substrate, followed by the spin coating of another layer of a 100 nm colloidal array on top of the 900 nm array. The influence of the processing parameters, including the type of surfactant, spin speed, and spin time, on the self-assembly of the binary colloidal array were explored. The empirical outcomes show that by employing the optimal processing conditions, binary colloidal arrays can be achieved by both the concurrent and sequential spin coating processes.

scholarly journals Multiscale Copper-µDiamond Nanostructured Composites

2012 ◽  
Vol 730-732 ◽  
pp. 925-930
Author(s):  
Daniela Nunes ◽  
Vanessa Livramento ◽  
Horácio Fernandes ◽  
Carlos Silva ◽  
Nobumitsu Shohoji ◽  
...  
Keyword(s):  
Pure Copper ◽  
Thermal Stabilization ◽  
Hot Extrusion ◽  
Processing Parameters ◽  
High Energy ◽  
X Ray Diffraction ◽  
X Ray ◽  
Optimal Processing ◽  
Novel Approach ◽  
Transmission Electron

Nanostructured copper-diamond composites can be tailored for thermal management applications at high temperature. A novel approach based on multiscale diamond dispersions is proposed for the production of this type of materials: a Cu-nDiamond composite produced by high-energy milling is used as a nanostructured matrix for further dispersion of micrometer sized diamond. The former offers strength and microstructural thermal stability while the latter provides high thermal conductivity. A series of Cu-nDiamond mixtures have been milled to define the minimum nanodiamond fraction suitable for matrix refinement and thermal stabilization. A refined matrix with homogenously dispersed nanoparticles could be obtained with 4 at.% nanodiamond for posterior mixture with mDiamond and subsequent consolidation. In order to define optimal processing parameters, consolidation by hot extrusion has been carried out for a Cu-nDiamond composite and, in parallel, for a mixture of pure copper and mDiamond. The materials produced were characterized by X-ray diffraction, scanning and transmission electron microscopy and microhardness measurements.

Determination of optimal microwave curing cycle for fly ash mortars

2008 ◽  
Vol 35 (4) ◽  
pp. 349-357 ◽  
Author(s):  
İlker Bekir Topçu ◽  
Mehmet Uğur Toprak ◽  
Devrim Akdağ
Keyword(s):  
Fly Ash ◽  
Processing Parameters ◽  
Microwave Energy ◽  
Strength Prediction ◽  
Strength Development ◽  
Microwave Curing ◽  
Optimal Processing ◽  
Cement Mortars ◽  
Curing Cycle

Microwave energy can accelerate the hydration of cement, which results in the rapid strength development of concrete. In this paper, prediction of later age compressive strength of fly ash cement mortars, based on the accelerated strength of mortars cured with microwave energy, was investigated. To accelerate curing properly, optimal processing parameters of microwave curing (MC) on Portland cement mortars (CM) and fly ash cement mortars (FA) were first determined and then were applied to mortars. The possible early ages for the strength prediction were found to be at 6 and 8 h for CM and FA, respectively. The error percentages for prediction of CM were ±2.22% and 2.91% for 7 and 28 d, respectively. Error percentages for FA, on the other hand, were ±4.36% and 5.20% for 7 and 28 d, respectively.

Low frequency vibratory cleaning of paint and rust contaminants from machines parts

2021 ◽  
pp. 095440542110314
Author(s):  
Dieudonne Essola ◽  
Achille Pandong Njomoue ◽  
Florence Offole ◽  
Cyrille Adiang Mezoue ◽  
Crick Nelson Zanga ◽  
...  
Keyword(s):  
Processing Time ◽  
Low Frequency ◽  
Processing Parameters ◽  
Vibration Machine ◽  
Optimal Processing ◽  
Low Frequency Oscillations ◽  
Experimental Parameters ◽  
Process Fluid ◽  
Full Factorial ◽  
Fluid Parameters

This work investigates the effect of low frequency vibratory processing for cleaning and washing various machine components parts from rusts and old paints deposits. The experimental investigation was carried out with special prepared samples that were weighted and exposed to paints and rust contaminants. These samples were treated in universal horizontal vibration machine UVHM 4 × 10 with different combination of instrumental processing medium, process fluid, machine amplitude and frequency of oscillations. They were periodically reweighted after processing and compared to etalon with control of quantity of dust that have been removed, sample cleanliness and also other functional parameters. Statistical analysis has been used to characterize ongoing process and full factorial analysis to establish experimental parameters dependency. The result is showing the complex dependence of samples cleanliness to each processing parameters like processing time, amplitude of oscillations, frequency of oscillations, process fluid parameters, instrumental medium, etc. Between this parameters although the most important successively the amplitude of oscillations, the frequency of oscillations the processing medium and the processing fluid depending to his considered composition, the optimal processing time can be reach only by complex combination of all this parameters every of them carry an amplify coefficient. Low frequency oscillations can be used to monitor and optimize washing and cleaning operations of paints and rusts contaminations. That guarantees process automation, its effectiveness for a large industrial application.

Friction, wear, and fatigue analysis for micro-textured cemented carbide

2019 ◽  
Vol 233 (17) ◽  
pp. 5989-6004 ◽  
Author(s):  
Xin Tong ◽  
Shucai Yang ◽  
Xianli Liu ◽  
Weiwei Liu ◽  
Chunsheng He
Keyword(s):  
Smooth Surface ◽  
Friction And Wear ◽  
Processing Parameters ◽  
Textured Surface ◽  
Surface Phase ◽  
Textured Surfaces ◽  
Wear Properties ◽  
Fatigue Wear ◽  
Optimal Processing ◽  
Cutting Processes

In the research regarding laser-processed micro-textured carbide tool surfaces, there remains a lack of research on the relationship between micro-textured preparation processes and the degree of fatigue wear experienced by micro-textured surfaces. To study the effect of a laser-textured surface on the friction and wear properties of friction pairs, it first of all conducted friction and wear tests to obtain optimal processing parameters. By using a scanning electron microscope, the fatigue wear mechanism for a micro-textured surface was observed. Experimental results based on fatigue wear theory show that a micro-textured surface phase has better fatigue resistance than a smooth surface. Under the same friction conditions and selected test parameters, a micro-textured surface phase can reduce the maximum fatigue and friction wear of a smooth surface by 38.4%. This study provides a theoretical basis and source of reference for the rational formulation of micro-texture parameters and improvements in the performance of micro-textures during cutting processes.

Research on Cladding Nickel on Copper Crystallizer Using Laser Metal Deposition Technique

2010 ◽  
Vol 97-101 ◽  
pp. 3846-3851 ◽  
Author(s):  
Guang Yang ◽  
Wei Jun Liu ◽  
Wei Wang ◽  
Fei Xing ◽  
Feng Jie Tian ◽  
...  
Keyword(s):  
Erosion Resistance ◽  
Energy Dispersive Spectrometer ◽  
Processing Parameters ◽  
Metal Deposition ◽  
Bonding Interface ◽  
Laser Metal Deposition ◽  
Optimal Processing ◽  
Large Numbers ◽  
Nickel Based Alloy ◽  
Cladding Layers

To increase the strength and erosion resistance of Copper Crystallizer, the system based on Laser Metal Deposition (LMD) process was proposed to clad nickel-based alloy on its surface. With the optimal processing parameters ascertained by large numbers of experiments, the crystallizer was clad nickel-based alloy. The morphology and the microstructures of the cladding layers and bonding interface were analyzed by energy dispersive spectrometer and scanning electronic microscopy. The result shows that the bonding interface realizes the metallurgic and tight bonding.

Modeling and Optimization of Caliber Rolling Process

2006 ◽  
Vol 129 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Su-Hai Hsiang ◽  
Sheng-Li Lin
Keyword(s):  
Simulation Model ◽  
Simulated Annealing Algorithm ◽  
Back Propagation ◽  
Rolling Process ◽  
Processing Parameters ◽  
Back Propagation Neural Network ◽  
Optimal Processing ◽  
Annealing Algorithm ◽  
Searching Method ◽  
Short Time

In practice of caliber rolling, it is highly desirable to obtain optimal processing parameters to achieve the best quality in a short time. A sophisticated and faster simulation model of caliber rolling is proposed, and then a global optimal searching method—simulated annealing algorithm (SA)—is applied to find the optimal processing parameters of caliber rolling. The simulation model of caliber rolling in this paper was established by the back-propagation neural network (BPNN) model, which replaces the complex numerical analytical model, proposed in an earlier paper. This replacement improved the speed of simulation significantly.

Optimal Scanning Condition of Selective Laser Melting Processing with Stainless Steel 316L Powder

2011 ◽  
Vol 341-342 ◽  
pp. 816-820 ◽  
Author(s):  
Apinya Laohaprapanon ◽  
Pongnarin Jeamwatthanachai ◽  
Marut Wongcumchang ◽  
Nattapon Chantarapanich ◽  
Surapon Chantaweroad ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Selective Laser Melting ◽  
Visual Inspection ◽  
Processing Condition ◽  
Density Measurement ◽  
Scanning Speed ◽  
Processing Parameters ◽  
Stainless Steel 316L ◽  
Laser Melting ◽  
Optimal Processing

This study aimed to investigate the stainless steel 316L processing by means of selective laser melting (SLM). The processing parameters under consideration included laser power (25-225 W), scanning speed (50-320 mm/s), and scan spacing (0.04 and 0.06 mm). Every processing was constrained the layer thickness as of 100 µm. All parameters were performed based on two experiments, line scanning and multiple layers scanning. Each of final workpieces was examined by visual inspection, density measurement, hardness, and built rate. From the experiments, the optimal processing conditions which produced the smooth tracks were obtained. The workpiece processed by this optimal processing condition presented quality characteristics with 97.6% density and 220±6 HV hardness.

Simulation and Optimization on Dynamic Hydraulic Drawing for Spiral Bottom Shell Parts

2014 ◽  
Vol 496-500 ◽  
pp. 935-938
Author(s):  
Wen Chao Zhou ◽  
Wei Zhou ◽  
Cun Ping Liu ◽  
Shan Hua Xiao
Keyword(s):  
Wall Thickness ◽  
Deep Drawing ◽  
Fluid Pressure ◽  
Processing Parameters ◽  
Key Factors ◽  
Forming Process ◽  
Simulation And Optimization ◽  
Simulation Process ◽  
Optimal Processing ◽  
Blank Shape

The dynamic hydraulic drawing simulation is a valid method that reduces costs, increases quality and discovers hydraulic forming process problems.The simulation process of hydraulic drawing for spiral bottom brake shell parts with space surface feature was investigated and the optimal processing parameters were acquired by using Dynaform software. The results showed that model approaches, model methods, meshing and parameters setting were the foundation of hydraulic drawing simulation and the optimized control of holder force and fluid pressure were the key factors for preventing defects during hydraulic deep drawing. Meanwhile, the suitable blank shape was found good for reducing the defects of Wall Thickness Unevenness and oral flange earing, etc.

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