Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

About: Ghulam Ishaq Khan Institute of Engineering Sciences and Technology is a education organization based out in Topi, Pakistan. It is known for research contribution in the topics: Thin film & Quantum efficiency. The organization has 618 authors who have published 940 publications receiving 10674 citations.

A study of V 2 O 4 -PEPC composite based resistance temperature sensors

Abstract: In this study V 2 O 4 -PEPC composite based temperature sensors were designed and fabricated by drop-casting the blend of V 2 O 4 -PEPC microcomposite into thin films between the gap of preliminary deposited electrodes on a glass substrates. The blend was prepared by mixing 10 wt.% vanadium oxide (V 2 O 4 ) micro-powder and 2 wt.% poly-N-epoxypropylcarbazole (PEPC) in 1 ml of benzol. The thickness of the V 2 O 4 -PEPC films was in the range of 20–40 μm. The gap between silver electrodes was in the range 30–40 μm. The length of silver electrodes was equal to 15 mm. It was found that with increase in temperature from 33 °C to 90 °C the AC resistance of the samples decreases by 10–12 times. The resistance-temperature relationships were simulated.

FUSCD - Future Smart Car Driver

Abstract: Autonomous driving is one of the newly emerging feats in artificial intelligence (AI). The challenge in developing autonomous cars is to design controllers that can steer a vehicle in the right direction with enough speed. A good controller activates a set of multiple actuators simultaneously. The output of the controller is a function of the sensory inputs. Nowadays, controllers are mostly developed by connecting a car simulator with a machine learning (ML) algorithm. The simulator provides a pragmatic environment for simulated cars. The ML algorithm, on the other hand, does the job of an expert human controller designer; it designs the controllers on behalf of the latter. In our case, we use a famous car racing simulator called TORCS (The Open Racing Car Simulator). This paper proposes a new controller for TORCS that helps cars win races with grace. We also propose a novel strategy to design smart controllers using ML algorithms. Our controller is called FUSCD (Future Smart Car Driver).

Design optimization and dynamic testing of CFRP for helicopter loading hanger

Abstract: This chapter presents the Multiphysics technique applied in the design optimization of a loading hanger for an aerial crane. In this study, design optimization is applied on the geometric modeling of a part being used in an aerial crane operation. A set of dimensional and loading requirements are provided. Various geometric models are built using SolidWorksⓇ computer aided design package. In addition, finite element method is applied to study these geometric models using ANSYSⓇ Multiphysics software. Appropriate material is chosen based on the strength to weight ratio. Efforts are made to optimize the geometry to reduce the weight of the part. Further the chosen carbon fiber reinforced polymers (CFRPs) quasi-isotropic shell structures are analyzed under the influence of dynamic loading. The quasi-isotropic CFRPs shell specimens are fabricated using Multipreg E720 laminates. In this study, the dynamic loading is generated using shock waves in a shock tube experimental setup. The strain and pressure data are collected from the experiments. Additional tests are carried out using material test system for both tensile and flexural response of CFRPs. Results obtained from experiments are compared with numerical simulations. The numerical simulation and experimental results are found to be in good agreement. Based on the achieved results, conclusions are drawn.

A single parameter self-tune fractional order PI λ controller for second order uncertain dynamical system

Abstract: This study presents a single parameter self-tuning fuzzy fractional order PIλ (STFFOPIλ) controller for second order uncertain dynamical system. A method for the self-tuning of fractional order controller (FOC) using fuzzy logic is introduced. Fuzzy auto-tune technique adjusts on-line integral order (λ) of STFFOPIλ controller to meet that system have different control parameters under different error. Time domain response of proposed controller is analysed and compared with two parameters (K p and K i ) self-tuning fuzzy classical PI (STFCPI) controller. Disturbance rejection performance and robust stability feature are assessed by simulated examples. Result shows that the anti-interference capability as well as robustness of the proposed STFFOPIλ controller is better than the STFCPI controller. In short, performance of PID controller can be improved by making use of fractional order derivative and integral.

Ultraviolet light inducedphotocurrent response of graphene based field effect transistors

Abstract: Owing to high charge carrier mobility, impressive absorption capacity and fast responsivity, graphene can be utilized for various light sensing applications. Under ultra violet illumination the photoconductivity response of chemical vapor deposition grown graphene based field effect transistor is studied at different drain-source and backgate voltages as a function of time. Increase in photocurrent characteristics is observed at maximum drain-source voltage of 1 V. The response of photosensitivity is tuned by varying the backgate voltage. Raman spectrum ratifies high purity of graphene. Furthermore, the performance of graphene based phototransistor is studied by analyzing responsivity, detectivity.