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Articles 1 - 29 of 29
Full-Text Articles in Engineering
Multiple-Objective Optimization In Precision Laser Cutting Of Different Thermoplastics
Multiple-Objective Optimization In Precision Laser Cutting Of Different Thermoplastics
Faculty of Engineering University of Malaya
Thermoplastics are increasingly being used in biomedical, automotive and electronics industries due to their excellent physical and chemical properties. Due to the localized and non-contact process, use of lasers for cutting could result in precise cut with small heat-affected zone (HAZ). Precision laser cutting involving various materials is important in high-volume manufacturing processes to minimize operational cost, error reduction and improve product quality. This study uses grey relational analysis to determine a single optimized set of cutting parameters for three different thermoplastics. The set of the optimized processing parameters is determined based on the highest relational grade and was found …
A Generalized Energy-Based Kinetic Model For Microwave-Assisted Extraction Of Bioactive Compounds From Plants
Faculty of Engineering University of Malaya
By considering the absorbed power and energy based on heating power profile during extraction, a generalized model with washing coefficient (b), diffusion coefficient (k) and predictive parameter namely absorbed power density (APD) was developed for microwave-assisted extraction (MAE) at any operational heating modes. To study the model, MAE of flavonoids from cocoa (Theobroma cacao L.) leaves was conducted using the heating modes (constant-power, two-steps-power, intermittent-power and constant-temperature) at various microwave power (100-300W) and extraction temperature (50 degrees C and 70 degrees C). The results shows that the model (b = 0.5595 and k' = 0.01279 mL/J) is able to predict …
Stiffness Modulus Of Polyethylene Terephthalate Modified Asphalt Mixture: A Statistical Analysis Of The Laboratory Testing Results
Faculty of Engineering University of Malaya
Stiffness of asphalt mixture is a fundamental design parameter of flexible pavement. According to literature, stiffness value is very susceptible to environmental and loading conditions. In this paper, effects of applied stress and temperature on the stiffness modulus of unmodified and Polyethylene Terephthalate (PET) modified asphalt mixtures were evaluated using Response Surface Methodology (RSM). A quadratic model was successfully fitted to the experimental data. Based on the results achieved in this study, the temperature variation had the highest impact on the mixture's stiffness. Besides, PET content and amount of stress showed to have almost the same effect on the stiffness …
Dimensional Synthesis Of Four Bar Mechanism Using Genetic Algorithm, Innovative Research Publications Irp India, S. S. Shete, S. A. Kulkarni
Dimensional Synthesis Of Four Bar Mechanism Using Genetic Algorithm, Innovative Research Publications Irp India, S. S. Shete, S. A. Kulkarni
Innovative Research Publications IRP India
The dimensional synthesis is done by using Genetic Algorithm to achieve a desired trajectory. Three problems are analyzed having different curvature. The program is authored in MATLAB® 2010a. The error is seen to be in the permissible prescribed limit. The prototyping of straight line trajectory analysis is also done in ADAMS®
Research On Optimization Of Plunge Centerless Grinding Process Using Genetic Algorithm And Response Surface Method, Innovative Research Publications Irp India, Phan Bui Khoi, Do Duc Trung, Ngo Cuong, Nguyen Dinh Man
Research On Optimization Of Plunge Centerless Grinding Process Using Genetic Algorithm And Response Surface Method, Innovative Research Publications Irp India, Phan Bui Khoi, Do Duc Trung, Ngo Cuong, Nguyen Dinh Man
Innovative Research Publications IRP India
This paper presents the research on optimization of plunge centerless grinding process when grind 20X – carbon infiltration steel (ГOCT standard - Russia) to achieve minimum of roundness error value. The input parameters are center height angle of the workpiece ( ), longitudinal grinding wheel dressing feed-rate ( Ssd ), plunge feed-rate ( k S ) and control wheel velocity ( dd v ). Using the result of 29 runs in Central Composite Design matrix to given the second order roundness error model. Genetic algorithm and Response surface method were used to focus on determination of optimum centerless grinding …
Electrospinning Of Polymethyl Methacrylate Nanofibers: Optimization Of Processing Parameters Using The Taguchi Design Of Experiments
Faculty of Engineering University of Malaya
The effects of polymer concentration and electrospinning parameters on the diameter of electrospun polymethyl methacrylate (PMMA) fibers were experimentally investigated. It was also studied how the controlled factors would affect the output with the intention of finding the optimal electrospinning settings in order to obtain the smallest PMMA fiber diameter. Subsequently the solution feed rate, needle gauge diameter, supply voltage, polymer concentration and tip-to-collector distance were considered as the control factors. To achieve these aims, Taguchi's mixed-level parameter design (L-18) was employed for the experimental design. Optimal electrospinning conditions were determined using the signal-to-noise (S/N) ratio that was calculated from …
A Comparative Study Of Multi-Objective Optimal Power Flow Based On Particle Swarm, Evolutionary Programming, And Genetic Algorithm
Faculty of Engineering University of Malaya
This paper compares the performance of three population-based algorithms including particle swarm optimization (PSO), evolutionary programming (EP), and genetic algorithm (GA) to solve the multi-objective optimal power flow (OPF) problem. The unattractive characteristics of the cost-based OPF including loss, voltage profile, and emission justifies the necessity of multi-objective OPF study. This study presents the programming results of the nine essential single-objective and multi-objective functions of OPF problem. The considered objective functions include cost, active power loss, voltage stability index, and emission. The multi-objective optimizations include cost and active power loss, cost and voltage stability index, active power loss and voltage …
Effective Utilization Of Excess Energy In Standalone Hybrid Renewable Energy Systems For Improving Comfort Ability And Reducing Cost Of Energy: A Review And Analysis
Faculty of Engineering University of Malaya
One of the features that characterize renewable energy sources is their variability and intermittency. Intermittency covers both the predictable and unpredictable variations of their power outputs and uncertainty in the power availability. To overcome the drawback of intermittency, special design considerations should be taken into account. These additional design considerations increases the overall cost of the renewable energy systems. Adding storage system and/or backup source to the renewable sources is one of the measures used to guarantee the continuity of power supply to the loads, and therefore improve the reliability of the renewable energy systems. The operation of renewable energy …
Reactive Distillation: A Review Of Optimal Design Using Deterministic And Stochastic Techniques, Juan Gabriel Segovia-Hernández, Salvador Hernández, Adrian Bonilla-Petriciolet
Reactive Distillation: A Review Of Optimal Design Using Deterministic And Stochastic Techniques, Juan Gabriel Segovia-Hernández, Salvador Hernández, Adrian Bonilla-Petriciolet
Adrian Bonilla-Petriciolet
In the last years, the industries have shown interest in the development of reactive separation processes. Reactive distillation can be considered as reaction and distillation combined into one new unit operation and this integrated separation process is a good example of process intensification. This intensified process offers several important advantages that include the increment of the reaction yield and selectivity, the overcoming of thermodynamic restrictions and the considerable reduction in energy, water and solvent consumptions. Therefore, this process configuration has been applied in several chemical industries. However, due to the strong interactions of chemical reactions and heat and mass transfer, …
Effect Of Alcohol-Gasoline Blends Optimization On Fuel Properties, Performance And Emissions Of A Si Engine
Faculty of Engineering University of Malaya
This study, as an observation, put its utmost effort to emphasize on the development of various physicochemical properties using multiple alcohols (C-2 to C-6) at different ratios compared to that of the conventional ethanol gasoline blend. To optimize the properties of multiple alcohol-gasoline blends, properties of each fuel were measured first. An optimization tool of Microsoft Excel "Solver" was used for obtaining the optimum blend. Using optimizing tool, three optimum blend ratios were selected which possessed maximum heating value (MaxH), maximum research octane number (MaxR) and maximum petroleum displacement (MaxD). These blends were used for testing in a four cylinder …
Optimizing Cutting Parameters In Inclined End Milling For Minimum Surface Residual Stress - Taguchi Approach
Faculty of Engineering University of Malaya
End milling is an important and common machining operation because of its versatility and capability to produce various profiles and curved surfaces. Inclined end milling possesses the capability to translate in all 3 axes but can perform the cutting operation in only 2 of the 3 axes at a time. This research work focuses on investigating the effect of machined surface inclination angle, axial depth of cut, spindle speed and feed rate for better surface integrity in inclined end milling process utilizing titanium coated carbide ball end mill. An optimization method known as Taguchi optimization was used in order to …
Review Of Improvements In Wire Electrode Properties For Longer Working Time And Utilization In Wire Edm Machining
Faculty of Engineering University of Malaya
Wire electrical discharge machining (WEDM) is an important technology, which demands high-speed cutting and high-precision machining to realize productivity and improved accuracy for manufacturing hard materials. WEDM has experienced explosive growth and complexity of equipment as well as rising demand for the basic process tool (the wire electrode). Greater taper angles, thicker workpieces, automatic wire threading, and long periods of unattended operation make the selection of the ideal wire a much more critical basis for achieving successful operation. This paper focuses on the evolution of EDM wire electrode technologies from using copper to the widely employed brass wire electrodes and …
Investigating The Electrical Discharge Machining (Edm) Parameter Effects On Al-Mg2si Metal Matrix Composite (Mmc) For High Material Removal Rate (Mrr) And Less Ewr-Rsm Approach
Faculty of Engineering University of Malaya
Al-Mg2Si composite is a new group of metalmatrix composites (MMCs). Electrical discharge machining (EDM) is a nonconventional machining process for machining electrically conductive materials regardless of hardness, strength and temperature resistance, complex shapes, fine surface finish/textures and accurate dimensions. A copper electrode and oil-based dielectric fluid mixed with aluminum powder were used. The polarity of electrode was positive. Response surface methodology (RSM) was used to analyze EDM of this composite material. This research illustrates the effect of input variables (voltage, current, pulse ON time, and duty factor) on material removal rate (MRR), electrode wear ratio (EWR), and microstructure changes. The …
Effect Of Using Adjusted Parameters, Local And Global Optimums, For Phase Equilibrium Prediction On The Synthesis Of Azeotropic Distillation Columns, Claudia Gutierrez-Antonio, Andrea Ojeda-Gasca, Adrian Bonilla-Petriciolet, Juan Gabriel Segovia-Hernández, Abel Briones-Ramírez
Effect Of Using Adjusted Parameters, Local And Global Optimums, For Phase Equilibrium Prediction On The Synthesis Of Azeotropic Distillation Columns, Claudia Gutierrez-Antonio, Andrea Ojeda-Gasca, Adrian Bonilla-Petriciolet, Juan Gabriel Segovia-Hernández, Abel Briones-Ramírez
Adrian Bonilla-Petriciolet
We analyze the effect of using adjusted parameters, corresponding to local and global optimums, in the NRTL thermodynamic model on the complete process synthesis (design, optimization and control) of homogeneous azeotropic distillation columns. The adjusted parameters that corresponding to a global optimum were obtained with simulated annealing technique, while the adjusted parameters that corresponding to a local optimum were taken from Dechema Collection. Both sets of parameters were used to design a conventional sequence, a side-stream column and a Petlyuk sequence. These designs were used as initial solution to a multiobjective genetic algorithm with constraints handling, coupled to a processes …
Optimizing The Sterilization Process Of Canned Food Using Temperature Distribution Studies, Ibrahim M. Ismail, Alaa Fahmy, Ahmed Azab, Magdy Abadir, Seif-Eddeen K. Fateen
Optimizing The Sterilization Process Of Canned Food Using Temperature Distribution Studies, Ibrahim M. Ismail, Alaa Fahmy, Ahmed Azab, Magdy Abadir, Seif-Eddeen K. Fateen
Seif-Eddeen K Fateen
The thermal processing of canned food is the most important step in the canning procedure. Retort operating procedures must ensure that uniform processing temperature is achieved and maintained throughout the locations of the canned containers during the process. In this study, temperature distribution tests have been used as a means of verifying the temperature uniformity around the containers. These studies were carried out in two Egyptian canning plants in horizontal water-immersion and water-spray retorts under fully loaded operating conditions. Time-temperature data gathered were used as a guidance tool in improving temperature distribution and in optimizing the process schedule.
Design, Optimization And Control Of An Alternative Process Based On Extractive Distillation For The Sweetening Of Natural Gas, Carlos E. Torres-Ortega, Juan Gabriel Segovia-Hernandez, Fernado I. Gomez-Castro, Salvador Hernandez, Adrian Bonilla-Petriciolet, Ben-Guang Rong, Massimiliano Errico
Design, Optimization And Control Of An Alternative Process Based On Extractive Distillation For The Sweetening Of Natural Gas, Carlos E. Torres-Ortega, Juan Gabriel Segovia-Hernandez, Fernado I. Gomez-Castro, Salvador Hernandez, Adrian Bonilla-Petriciolet, Ben-Guang Rong, Massimiliano Errico
Adrian Bonilla-Petriciolet
Alternative configurations based on cryogenic extractive distillation for the natural gas sweetening process were proposed and simulated by using Aspen Plus One 7.0 coupled to a multi-objective stochastic optimization procedure (Differential Evolution, DE). The evaluation of the performances of the proposed configurations was focused on the carbon dioxide-ethane azeotrope separation considering different liquefied hydrocarbon fractions as entrainers. The design alternatives were compared to the conventional chemical absorption system. The proposed sequences were simultaneously optimized by minimizing the Total Annual Cost (TAC) and maximizing the acid gas removal. Complementary studies regarding the theoretical control properties, thermodynamic efficiency and greenhouse gases generation …
Optimization And Modeling Of Extraction Of Solid Coconut Waste Oil, Abdul Aziz Abdul Raman
Optimization And Modeling Of Extraction Of Solid Coconut Waste Oil, Abdul Aziz Abdul Raman
Abdul Aziz Abdul Raman
Solid coconut waste was produced after coconut milk extraction process and may still contain up to 24 wt.% oil content. In this work, extraction of oil from coconut waste using batch and soxhlet extractor was studied. Effect of particle size diameter, type of solvent and solvent to solid ratio on the kinetic and thermodynamic parameters; entropy, enthalpy and free energy of extraction were investigated. The maximum oil yields for soxhlet and batch reactor were 23.6% at 80 °C and 21.9% at 65 °C, respectively for particle size diameter <0.5 mm when hexane was used as solvent. The kinetic of coconut waste oil extraction was found to be a first order mass transfer model. The ΔG, ΔS and ΔH values were 10.94–13.35 kJ/mol, 33.10–39.57 J/mol K and 0.12–1.25 kJ/mol, respectively shows that the extraction process was spontaneous, irreversible and endothermic based on thermodynamic parameters.
Comparative Study Of Various Pretreatment Reagents On Rice Husk And Structural Changes Assessment Of The Optimised Pretreated Rice Husk, Teck Nam Ang Dr., Gek Cheng Ngoh Dr, Adeline Seak May Chua Dr
Comparative Study Of Various Pretreatment Reagents On Rice Husk And Structural Changes Assessment Of The Optimised Pretreated Rice Husk, Teck Nam Ang Dr., Gek Cheng Ngoh Dr, Adeline Seak May Chua Dr
Teck Nam Ang Dr.
The performance of alkalis (NaOH and Ca(OH)2) and acids (H2SO4, HCl, H3PO4, CH3COOH, and HNO3) in the pretreatment of rice husk was screened, and a suitable reagent was assessed for subsequent optimisation using response surface methodology. From the assessment, HCl that hydrolysed rice husk well was optimised with three parameters (HCl loading, pretreatment duration, and temperature) using Box-Behnken Design. The optimised condition (0.5% (w/v) HCl loading, 125oC, 1.5 hours) is relatively mild, and resulted in ~22.3 mg TRS/ml hydrolysate. The reduced model developed has good predictability, where the predicted and experimental results differ by only 2%. The comprehensive structural characterization …
Reactive Extraction Of Solid Coconut Waste To Produce Biodiesel, Abdul Aziz Abdul Raman
Reactive Extraction Of Solid Coconut Waste To Produce Biodiesel, Abdul Aziz Abdul Raman
Abdul Aziz Abdul Raman
Biodiesel is an alternative diesel fuel produced using transesterification method where edible or non edible oil and alcohol reacts in the presence of catalyst. Biodiesel is expensive than fossil fuels because of higher raw material and production costs. Solid coconut waste is an alternative raw material from waste and suitable for biodiesel production to lower the production cost. Solid coconut waste is produced after coconut milk extraction and may still contain 17–24 wt% extractable oil content. This study introduces reactive extraction of solid coconut waste for biodiesel production. Effects of catalyst amount, KOH (0.8–2.0%), temperature (55–65 °C) and mixing intensity …
Elucidation Of The Effect Of Ionic Liquid Pretreatment On Rice Husk Via Structural Analyses, Teck Nam Ang Dr., Gek Cheng Ngoh Dr, Adeline Seak May Chua Dr, Min Gyu Lee Prof
Elucidation Of The Effect Of Ionic Liquid Pretreatment On Rice Husk Via Structural Analyses, Teck Nam Ang Dr., Gek Cheng Ngoh Dr, Adeline Seak May Chua Dr, Min Gyu Lee Prof
Teck Nam Ang Dr.
Background: In the present study, three ionic liquids, namely 1-butyl-3-methylimidazolium chloride ([BMIM]Cl), 1-ethyl-3-methylimidazolium acetate ([EMIM]OAc), and 1-ethyl-3-methylimidazolium diethyl phosphate ([EMIM]DEP), were used to partially dissolve rice husk, after which the cellulose were regenerated by the addition of water. The aim of the investigation is to examine the implications of the ionic liquid pretreatments on rice husk composition and structure. Results: From the attenuated total reflectance Fourier transform-infrared (ATR FT-IR) spectroscopy, X-ray diffraction (XRD) and scanning electron microscopy (SEM) results, the regenerated cellulose were more amorphous, less crystalline, and possessed higher structural disruption compared with untreated rice husk. The major component …
Dna Sequence Design For Dna Computation Based On Binary Particle Swarm Optimization, Norrima Mokhtar
Dna Sequence Design For Dna Computation Based On Binary Particle Swarm Optimization, Norrima Mokhtar
Mokhtar Norrima
Deoxyribonucleic Acid (DNA) has certain unique properties such as self-assembly and self-complementary in hybridization, which are important in many DNA-based technologies. DNA computing, for example, uses these properties to realize a computation in vitro, which consists of several chemical reactions. Other DNA-based technologies such as DNA-based nanotechnology and polymerase chain reaction also depend on hybridization to assemble nanostructure and to amplify DNA templates, respectively. Hybridization of DNA can be controlled by properly designing DNA sequences. In this paper, sequences are designed such that each sequence uniquely hybridizes to its complementary sequence, but not to any other sequences. Objective functions involved …
Potassium Hydroxide Catalyst Supported On Palm Shell Activated Carbon For Transesterification Of Palm Oil, Abdul Aziz Abdul Raman
Potassium Hydroxide Catalyst Supported On Palm Shell Activated Carbon For Transesterification Of Palm Oil, Abdul Aziz Abdul Raman
Abdul Aziz Abdul Raman
In this study, potassium hydroxide catalyst supported on palm shell activated carbon was developed for transesterification of palm oil. The Central Composite Design (CCD) of the Response Surface Methodology (RSM) was employed to investigate the effects of reaction temperature, catalyst loading and methanol to oil molar ratio on the production of biodiesel using activated carbon supported catalyst. The highest yield was obtained at 64.1 °C reaction temperature, 30.3 wt.% catalyst loading and 24:1 methanol to oil molar ratio. The physical and chemical properties of the produced biodiesel met the standard specifications. This study proves that activated carbon supported potassium hydroxide …
Process Modeling And Optimization Strategies, Sandip K. Lahiri
Process Modeling And Optimization Strategies, Sandip K. Lahiri
Dr. Sandip Kumar Lahiri
This paper presents artificial intelligence-based process modeling and optimization strategies, namely, support vector regression – differential evolution (SVR-DE) for modeling and optimization of catalytic industrial ethylene oxide (EO) reactor. In the SVR-DE approach, a support vector regression model is constructed for correlating process data comprising values of operating and performance variables. Next, model inputs describing process operating variables are optimized using Differential Evolution (DE) with a view to maximize the process performance. DE possesses certain unique advantages over the commonly used gradient-based deterministic optimization algorithms. The SVR-DE is a new strategy for chemical process modeling and optimization. The major advantage …
Process Modeling And Optimization Strategies Integrating Neural Networks And Differential Evolution, Nadeem Muhammed Khalfe
Process Modeling And Optimization Strategies Integrating Neural Networks And Differential Evolution, Nadeem Muhammed Khalfe
Nadeem Khalfe
This article presents an artificial intelligence-based process modeling and optimization strategy, namely artificial neural networks—differential evolution (ANN-DE) for modeling and optimizing catalytic industrial ethylene oxide (EO) reactors. In the ANN-DE approach, an artificial neural network model is constructed for correlating process data comprising values of operating and performance variables. Next, model inputs describing process operating variables are optimized using DEs with a view to maximizing the process performance. The DE possesses certain unique advantages over the commonly used gradient-based deterministic optimization algorithms. The ANN-DE is a new strategy for chemical process modeling and optimization. The major advantage of the strategy …
Synthesis Design Of Artificial Magnetic Metamaterials Using A Genetic Algorithm, Chien Hsun Chen, P. Y. Chen, H. Wang, J. H. Tsai, W. X. Ni
Synthesis Design Of Artificial Magnetic Metamaterials Using A Genetic Algorithm, Chien Hsun Chen, P. Y. Chen, H. Wang, J. H. Tsai, W. X. Ni
Chien Hsun Chen
In this article, we present a genetic algorithm (GA) as one branch of artificial intelligence (AI) for the optimization-design of the artificial magnetic metamaterial whose structure is automatically generated by computer through the filling element methodology. A representative design example, metamaterials with permeability of negative unity, is investigated and the optimized structures found by the GA are presented. It is also demonstrated that our approach is effective for the synthesis of functional magnetic and electric metamaterials with optimal structures. This GA-based optimization-design technique shows great versatility and applicability in the design of functional metamaterials.
Localisation Of Production Placement And Reduction Of Energy Transfer, Tarak Mesbah, Kamel Bounaya, Boukhemis Chetate
Localisation Of Production Placement And Reduction Of Energy Transfer, Tarak Mesbah, Kamel Bounaya, Boukhemis Chetate
Boukhemis Chetate
The first step in the planning of the electrical supply networks consists in defining the optimum placement of one or more power stations; this can be done by the centre of gravity method, or by the minimal reduced costs. The first method take in account only the optimisation of investments, tended that the second in addition to the investments holds operating statement "production cost, cooling and transport." In this study, we show also the strategy and the criteria of delimitation of the zones to electrify by the same departure and to reduce the transfer of power between zones, which has …
Modelling And Optimization Of Catalytic-Dielectric Barrier Discharge Plasma Reactor For Methane And Carbon Dioxide Conversion Using Hybrid Artificial Neural Network – Genetic Algorithm Technique, Istadi, Nor Aishah Saidina Amin
Modelling And Optimization Of Catalytic-Dielectric Barrier Discharge Plasma Reactor For Methane And Carbon Dioxide Conversion Using Hybrid Artificial Neural Network – Genetic Algorithm Technique, Istadi, Nor Aishah Saidina Amin
Istadi
A hybrid Artificial Neural Network - Genetic Algorithm (ANN-GA) was developed to model, simulate and optimize the catalytic-dielectric barrier discharge plasma reactor. Effects of CH4/CO2 feed ratio, total feed flow rate, discharge voltage and reactor wall temperature on the performance of the reactor was investigated by the ANN-based model simulation. Pareto optimal solutions and the corresponding optimal operating parameter range based on multi-objectives can be suggested for two cases, i.e. simultaneous maximization of CH4 conversion and C2+ selectivity (Case 1), and H2 selectivity and H2/CO ratio (Case 2). It can be concluded that the hybrid catalytic-dielectric barrier discharge plasma reactor …
Otimização Baseada Na Quimiotaxia Social De Bactérias: Introdução E Perspectivas, Gladstone B. Alves
Otimização Baseada Na Quimiotaxia Social De Bactérias: Introdução E Perspectivas, Gladstone B. Alves
Gladstone B. Alves
No abstract provided.
Introdução Ao Hardware Evolutivo, Gladstone B. Alves
Introdução Ao Hardware Evolutivo, Gladstone B. Alves
Gladstone B. Alves
In the 1950's, the idea of simulate the workings of natural evolution in an engineering setting gave birth to the domain of evolutionary computation, a powerful approach to optimization and non-deterministic problem solving. Now, some researchers are beggining to create hardware that can grow and improve itself over time, evolving steadily as it finds new and better ways to do the tasks it has set before it. The field, known as Evolvable Hardware, is a recent focus of a growing endeavour to build this kind of autonomous, adaptive, and fault-tolerant electronic systems. This paper motivates current research on Evolvable Hardware …