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Recent Submissions

An Evaluation of Tracking Performance of a Positioning Controller with Feedforward on an XY Milling Table Ball-Screw Driven System
(Department of Mechanical and Production Engineering(MPE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2025-10-25) Hossain, Saeid Bin; Kamrul, Raham Bintea; Payel, Tahsin Muhammed
This study evaluates the tracking performance of various positioning controllers for an XY milling table ball-screw driven system under dynamic cutting force disturbances. The objective was to determine the effectiveness of augmenting traditional feedback controllers with Feedforward (FF) compensation to improve precision. Four control strategies were designed and simulated in MATLAB/Simulink: a standalone PID controller, a PID with Feedforward (PID plus FF), a Cascade P/PID controller, and a Cascade P/PID with Feedforward (Cascade plus FF). Performance was assessed using Maximum Tracking Error (MTE), Root Mean Square Error (RMSE), and Fast Fourier Transform (FFT) analysis. Results demonstrated that the Cascade P/PID controller significantly outperformed the standalone PID, reducing RMSE by over 55%. The most effective strategy was the Cascade plus Feedforward controller, which achieved the lowest errors, reducing RMSE by 57.3% compared to the baseline PID and attenuating the dominant 26 Hz disturbance harmonic by 59.1%. The study concludes that the synergistic combination of cascade control and feedforward compensation provides superior tracking performance and disturbance rejection, making it the recommended strategy for high-precision CNC machining applications.
Molecular Dynamcis Study of Thermomechanical Behavior of WSe2 (Tungsten Diselenide) for Flexible Wearable Sensors
(Department of Mechanical and Production Engineering(MPE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2025-10-25) Khan, MD. Ibrahim Hossain; Rohan, Shadman Arif
Among two-dimensional (2D) materials, transition metal dichalcogenides (TMDs) stand out for their exceptional electrical, optical, and mechanical properties, with tungsten diselenide (WSe2)beingaparticularly promisingcandidate for next-generation nanoelectromechanical and flexible devices. However, imperfections such as pits, which frequently arise during synthesis or device fabrication, act as crack initiators that degrade the intrinsic mechanical stability and compromise device reliability. In this study, we employ molecular dynamics (MD) simulations to investigate the fracture response of monolayer WSe2 nanosheets containing circular and triangular pit defects under uniaxial tensile loading along both armchair and zigzag orientations. Using the Stillinger–Weber (SW) interatomic potential within LAMMPS at a strain rate of 108 s−1 and room temperature (300 K), we analyze stress–strain behavior, crack initiation, and propagation mechanisms. The results show that the zigzag orientation provides superior mechanical resistance, with circular pits achieving a maximum yield strength of about 4.08 GPa at 6.0% strain, whereas triangular pits fractured earlier at around 3.00 GPa and 4.8% strain. In the armchair direction, circular pits reached approximately 3.55 GPa at 6.3% strain, while triangular pits failed at 3.06 GPa and 4.0% strain. Results reveal the anisotropic nature of WSe2 and demonstrate that both defect geometry and loading direction significantly alter mechanical performance. This work provides fundamental insights into defect-driven fracture mechanisms in WSe2, offering useful guidelines for the design and reliability assessment of TMD-based nanodevices.
Optimal Design of a Soft Robotic Gripper for Efficient Object Grasping in Agricultural Applications
(Department of Mechanical and Production Engineering(MPE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2025-10-25) Lavon, Sidul Ahsan; Siddiquee, Safwan
Designed and developed, this research offers a description of a bio-inspired soft robotic gripper based on rose petals’ blooming motion named ROSE (Rotation-based Squeezing Gripper). Tackling the increasing need for adaptive and fragile manipulation in agriculture and soft object manipulation, the ROSE gripper leverages a rotational actuation mechanism to impart controlled membrane buckling in executing secure and gentle manipulation of objects across a variety of shapes, sizes, and materials. The gripper is produced from elastomeric materials through the 3D-printed molds and silicone casting process that guarantees cost-effective and customizable production. Unlike the conventional fingered soft grippers, ROSE has a symmetrically driven, funnel-shaped membrane, and its normal pressure could be strictly controlled while generating a great area of contact. Experiments show a high payload-to-weight ratio as well as successful complex object grasping (such as slippery and submerged objects) confirming its applicability in non-destructive harvesting and automated tasks. Complementary finite element analysis confirms the effect of morphological parameters upon wrinkling behavior and grasping performance. The incorporation of a rose-inspired twisting mechanism along with its structural compliance provides a new ushering in the world of scalable, low-complexity, and robust soft robotics grippers
A Comparative Study of Supervised and Unsupervised Deep Learning Models for Fabric Defect Localization in Smart Textile Manufacturing
(Department of Mechanical and Production Engineering(MPE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2025-10-25) Bhuiyan , Md. Mahmudul Hasan; Khan, Nabila Islam
The increasing demand for automated visual inspection in textile manufacturing has intensified the demand for strong and efficient defect detection systems. Traditional manual inspection methods are often inconsistent and resource-intensive, while the inherent variability of fabric textures creates obstacles for conventional machine vision techniques. To overcome these constraints, this study presents a comparative analysis of supervised semantic segmentation and unsupervised anomaly detection models for fabric defect localization using the ZJU-Leaper benchmark dataset. A total of nine deep learning architectures were evaluated across three methodological categories: (i) CNN-based supervised models (U-Net, PSPNet, FPN, DeepLabV3, U-Net++, and DeepLabV3+), (ii) Transformer-based supervised models (UPerNet and SegFormer), and (iii) an unsupervised anomaly detection model (EfficientAD). All models were trained on standardized preprocessed images and optimized under identical hyperparameter settings to ensure fair benchmarking. The evaluation followed the multi-level protocol defined in the ZJU-Leaper paper, incorporating sample-, pixel-, and region-level metrics, alongside efficiency indicators such as FLOPs, parameter count, and FPS to assess deployment feasibility. The results show distinct trade-offs between accuracy and efficiency across the examined architectures. Transformer-based models demonstrated superior generalization on complex textures, achieving balanced performance between global context capture and computational cost. CNN-based models excelled in fine-grained localization, offering high Dice and IoU scores at moderate inference speeds. Conversely, the unsupervised EfficientAD model achieved competitive detection accuracy without relying on labeled data, underscoring its potential for defect-scarce industrial scenarios. Overall, this research establishes a unified evaluation framework for benchmarking supervised and unsupervised deep learning models in fabric inspection. The results show into the architectural and operational considerations necessary for developing scalable, real-time, and label-efficient quality control systems in smart textile manufacturing environments.
Design, Fabrication and Performance Study of a Solar Water Desalination (Single Slope Still)
(Department of Mechanical and Production Engineering(MPE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2025-10-30) Kamara, Aakifah Yainkain; Bah, Momodou; Jarjusey, Alimamy
Access to clean water remains a critical global challenge, particularly in arid and remote regions where conventional desalination systems are costly and energy-intensive. To address this, the present study aims to develop an affordable and sustainable solar desalination unit capable of producing potable water using only solar energy. It is hypothesized that a simple single-slope solar still, optimized through effective thermal insulation, shallow basin design, and proper cover inclination, can significantly improve freshwater yield and overall efficiency. A prototype was designed, fabricated, and experimentally tested at outdoor conditions using a tempered-glass cover, a shallow, black-painted basin, a thermal isolator, a brine drain, and a channel used to collect condensates. The performance was evaluated in terms of temperature distribution, solar energy absorption, and hourly distillate output. The design was to increase thermal retention and evaporation speed based on the literature suggestions regarding the most effective cover angles, shallow water depth, and better insulation. Solar radiation, ambient/basin/glass temperatures, relative humidity, and production of hourly distillate were measured during various test days in August at different levels of irradiance. The daily freshwater yield was found to be at a maximum 1.15 L/day during test days with a maximum thermal efficiency of 39.7% with the highest performance achieved under strong solar irradiance and minimal cloud cover. Incident radiation and operating temperatures were found to have a strong dependence on productivity, and cloud cover and rainfall adversely affected it; the use of an insulation layer and a shallow basin enhanced performance as compared to traditional untreated designs. The modified unit exhibited improved performance with higher efficiency and competitive yield, while preserving a simple design, minimal maintenance, and zero fuel consumption. The findings confirm that a simple, fuel-free, and low-maintenance solar still can effectively provide potable water in resource-limited environments, supporting sustainable development goals related to clean water and renewable energy.