A5059129621- Semiconductor materials and devices
- Metal and Thin Film Mechanics
- Advanced machining processes and optimization
- ZnO doping and properties
- Advanced Surface Polishing Techniques
- Diamond and Carbon-based Materials Research
- Solar Radiation and Photovoltaics
- Process Optimization and Integration
- Lubricants and Their Additives
- Energy Load and Power Forecasting
- Thermochemical Biomass Conversion Processes
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Machining and Optimization Techniques
- Advanced Power Generation Technologies
- Heat Transfer Mechanisms
- Advanced ceramic materials synthesis
- Fluid Dynamics and Turbulent Flows
- Biodiesel Production and Applications
- Fault Detection and Control Systems
- Coal Combustion and Slurry Processing
- Tribology and Wear Analysis
- Energy, Environment, and Transportation Policies
- Aerodynamics and Fluid Dynamics Research
- Silicon Carbide Semiconductor Technologies
- Machine Fault Diagnosis Techniques
University of Engineering and Technology Lahore
2015-2024
University of Malaya
2020
Northeastern University
2010-2016
University of York
2014
Universidad del Noreste
2009
Augmentation of energy efficiency in the power generation systems can aid decarbonizing sector, which is also recognized by International Energy Agency (IEA) as a solution to attain net-zero from sector. With this reference, article presents framework incorporating artificial intelligence (AI) for improving isentropic high-pressure (HP) steam turbine installed at supercritical plant. The data operating parameters taken 660 MW coal-fired plant well-distributed input and output spaces...
This paper presents a comprehensive step-wise methodology for implementing industry 4.0 in functional coal power plant. The overall efficiency of 660 MWe supercritical coal-fired plant using real operational data is considered the study. Conventional and advanced AI-based techniques are used to present visualization. Monte-Carlo experimentation on artificial neural network (ANN) least square support vector machine (LSSVM) process models interval adjoint significance analysis (IASA) performed...
The vibrations of bearings holding the high-speed shaft a steam turbine are critically controlled for safe and reliable power generation at plants. In this paper, two artificial intelligence (AI) process models, i.e., neural network (ANN) support vector machine (SVM) based relative vibration modeling bearing 660 MW supercritical system is presented. After extensive data processing learning visualization tests performed on raw operational data, ANN SVM models trained, validated compared by...
Abstract Over the years, machinists have been exploring hard part turning of AISI D2 steels. Initially, cylindrical grinding was used for this purpose, but it later replaced by single-point due to its advantages such as high material removal, low cost, and greater flexibility. Conventional inserts are in turning, they reported large radial forces, notch wear, poor surface finish. Therefore, multi-radii wiper were designed overcome these machining issues, their use restricted shallower depths...
Desalination is among the most feasible solutions to supply sustainable and clean drinking water in scarcity areas. In this regard, Multi-Effect (MED) systems are particularly preferred for harsh feeds (high temperature salinity) because of their robust mode operation production. However, maintaining efficient MED challenging large system design variables' interdependencies that sensitive distillate Therefore, research leverages power machine learning optimization estimate optimal operating...
Modern data analytics techniques and computationally inexpensive software tools are fueling the commercial applications of data-driven decision making process optimization strategies for complex industrial operations. In this paper, modern reliable modeling techniques, i.e., multiple linear regression (MLR), artificial neural network (ANN), least square support vector machine (LSSVM), employed comprehensively compared as robust models generator power a 660 MWe supercritical coal combustion...
Solar radiation from reanalysis datasets can be used to estimate solar energy potential in the absence of long-term surface measured data. Comprehensive validation data against short-term measurements is necessary find uncertainties. The evaluation performance seven (ERA-5, MERRA-2, ERA-Interim, JRA-55, NCEP-NCAR, NCEP-DOE, and CFSR) for Balochistan high-quality was performed using statistical analysis. relative mean bias error (rMBE), absolute (rMAE), root square range −4 7%, 8 14%, 16 21%,...
Global Horizontal Irradiance (GHI), a component of solar radiation, is used to assess potential and estimate power output thermal PV applications. The reanalysis or analysis data are alternative satellite for resource assessment in places where latter not available costly, so there need evaluate their performance. evaluation estimated GHI (six-hourly data) from five global datasets (NCEP-NCAR, NCEP-DOE, CFSR, NCEP-GFS NCEP-FNL) performed using annual, seasonal monthly statistical analyses....
Abstract The emissions from coal power plants have serious implication on the environment protection, and there is an increasing effort around globe to control these by flue gas cleaning technologies. This research was carried out limestone forced oxidation (LSFO) desulfurization (FGD) system installed at 2*660 MW supercritical coal-fired plant. Nine input variables of FGD system: pH, inlet sulfur dioxide (SO2), temperature, nitrogen oxide (NOx), O2, air, absorber slurry density, humidity,...
Friction and wear are very crucial aspects of the performance, service life, operational costs for a mechanical component or equipment. To reduce friction at interface sliding mating parts, different conventional binary coatings like TiN, CrN, TiC, etc., have been used in last two decades. But ternary nitride replaced due to better tribo-mechanical properties. Now, being extensively several fields such as cutting tools, machinery orthopedic implants, microelectronics, marine equipment,...
Constructing the power curve of a generation facility integrated with complex and large-scale industrial processes is difficult task but can be accomplished using Industry 4.0 data analytics tools. This research attempts to construct data-driven generator installed at 660 MW plant by incorporating artificial intelligence (AI)-based modeling The produced from modeled an neural network (ANN)—a reliable analytical technique deep learning. Similarly, R2.ai application, which belongs automated...
In recent years, artificial intelligence has become increasingly popular and is more often used by scientists entrepreneurs. The rapid development of electronics computer science conducive to developing this field science. Man needs intelligent machines create discover new relationships in the world, so AI beginning reach various areas science, such as medicine, economics, management, power industry. Artificial one most exciting directions which absorbs a considerable amount human enthusiasm...
Abstract Accurately predicting fuel blends' lower heating values (LHV) is crucial for optimizing a power plant. In this paper, we employ multiple artificial intelligence (AI) and machine learning‐based models the LHV of various blends. Coal two different ranks types biomass used in study. One was South African imported bituminous coal, other lignite thar coal extracted from Thar Block‐2 mine by Sind Engro Mining Company, Pakistan. Two biomass, that is, sugarcane bagasse rice husk, were...
Ba M-type ferrite films of composition BaFe <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</sub> Zn xmlns:xlink="http://www.w3.org/1999/xlink">0.5</sub> Zr O xmlns:xlink="http://www.w3.org/1999/xlink">19</sub> were grown on MgO (111) substrates by pulsed laser deposition. Both and divalent ions introduced to reduce the magnetic anisotropy field ~7.5 kOe, or 46% lower than parent compound. Temperature dependence magnetization over 25 350°C...
The surface coating is one of the novel approaches to enhance performance and durability mechanical components by decreasing wear friction among two interacting bodies. In this study, tribological properties titanium nitride (TiN) coatings were investigated on AISI 52100 bearing steel deposited low-temperature physical vapor deposition system. Surface morphology elemental composition TiN analyzed scanning electron microscope energy-dispersive X-ray spectrum, respectively. Substrate roughness...
Photovoltaic assisted reverse osmosis (PV-RO) has been proven an efficient renewable energy-based desalination technique to provide drinkable water, especially in remote areas. In this manuscript, a simulation based RO design system was adopted evaluate the performance for three cities of Pakistan, that is, Lahore, Hasil Pur, and Faisalabad. The inlet concentration Faisalabad reduced from 1495, 2190, 7683 TDS 295.44, 237.69, 241.98 respectively, according WHO drinking water recommendations....
Pakistan is a developing country that faces severe energy crises due to the increased use of energy. The purpose this study transition by designing strategy for adoption renewable policies in entire system using all resources forecast future needs and carbon emission mitigation potential. This research aims evaluate analyze ways secure sources LEAP. established path transformation considering potential resources, cost system, primary supply. highest value demand noted 1st scenario, while...