Bhagwant University

This paper presents a hybrid statistical and response surface regression modelling framework for predicting and minimizing burr formation in the sheet metal blanking process of stainless steel (SS316), copper (C11000), and aluminium (AA1100). Building upon the limitations of prior material-focused investigations, this study introduces a generalized and flexible modelling framework capable of accommodating diverse materials with varying mechanical characteristics. The experimental design employed a Taguchi orthogonal array to study sheet thickness and punch–die clearance at three levels. Blanking trials were performed on a 10-ton hydraulic press under dry cutting, with burr height measured using high-precision instruments for reliability. Two prediction frameworks were established: (i) a linear regression model employing forward stepwise selection, and (ii) a non-linear quadratic model based on Response Surface Methodology (RSM). Results indicate that a clearance of 5

This study introduces an innovative tree-shaped two- and four-port multiple-input and multiple-output (MIMO) antenna modeled to be used in unlicensed ultrawideband (UWB) systems suitable for 5G midband (4.8-4.9 GHz), extended WiFi-6-GHz band, and 7-GHz 6G Spectrum (7.025-7.125 GHz) mitigating interference with other useful wireless bands such as WiFi-5 frequency band (5.15-5.85 GHz), IEEE 802.16 band (3.3-3.7 GHz), and Satellite C-band extension (6.7-7.1 GHz). Wide bandwidth, low profile, small size, low mutual coupling, low cost, stable radiation pattern, good gain, efficient diversity parameters, minimum channel capacity loss, and mitigating interference with highly engaged bands are among the few design challenges faced by such band-notched UWB MIMO antennas. The low-profile, efficiently downsized two-port tapered transformer-based microstrip line-fed antenna makes use of an economical FR4 substrate that measures 0.33 lambda(0) x 0.43 lambda(0). The measured -10dB impedance bandwidth covers the frequency spectrum from 2.8 to 11 GHz, with a maximum isolation of 17.5 dB between both ports. A vertical rectangular notch on the ground plane and a grounded conducting stub are used to improve isolation. To prevent interference with WiMAX, WLAN, and weather satellite applications, it has three-stop bands with the aid of rectangular slot stubs on the ground, a C-slot on the feedline, and a J-slit on the patch. Surface electrical current analysis confirms the nonfunctionality of the antenna at these notch bands. Moreover, the investigated radiation behavior of the antenna confirms that the power level at notch frequencies is significantly lower than the -3dB value. In pursuit of better radiation performance, a four-port MIMO antenna is also suggested and evaluated. The four-port proposed MIMO antenna exhibits excellent pattern diversity and improved isolation in the band from 2.8 to 10.6 GHz. Time domain analysis and MIMO performance metrics for the suggested two- and four-port antenna are also studied. Results show good modeled and experimental agreement for both two- and four-port antennas, suggesting their potential use for 5G/6G/WiFi-6E IoT Mobile Devices.

This study presents a hybrid Taguchi–Regression modelling framework for optimizing punch-die clearance in the sheet metal blanking process for Aluminium and Brass. By integrating the Taguchi design of experiments (DOE) with regression analysis, the study achieves precise control over burr height—one of the most critical quality indicators in blanking operations. Experiments were conducted using two input parameters: material thickness and punch-die clearance. The Taguchi L25 orthogonal array facilitated efficient experimental design, while regression modelling enabled predictive control over burr formation. Taguchi analysis revealed that a punch-die clearance of 5

In this study, a new series of pyrazole fused novel Indole-2-one derivatives (II-VI_(a-o)) by conventional method via Schiff's and Mannich base mechanism. Novel 3-(3-((1H-pyrazol-4-yl)imino)-2-oxoindolin-1-yl)-N,3- diphenylpropanamide derivatives were prepared by two steps. In step-1, substituted Isatins were reacted with 4- amino pyrazole via Schiff's base reaction to give pyrazol-4-yl)imino)-5-chloroindolin-2-one(IV). It can undergo Mannich base reaction with phenylacetamide and substituted benzaldehyde(V) to get title compounds. The synthesized compound's structure was confirmed by IR, ¹H NMR, and Mass spectroscopy. Anticancer activity against two cancer cell lines (MCF-7 and SKOV3) were evaluated using MTT assay method. Compounds II-VI_c and II-VI_f showed broad spectrum anticancer activity on the two tested cell lines with IC₅₀ values compared with standard. Doxorubicin was used as a standard reference drug. The anticancer activity results shown that compound II-VI_c with IC₅₀ values of 20.21 ± 0.021 µg (MCF-7) and 25.97 ± 0.023 µg (SKOV3) and compound II-VI_f with IC₅₀ values of 37.26 ± 0.001 µg (MCF-7) and 24.56 ± 0.002 µg (SKOV3) respectively. Additionally, Molecular docking studies were conducted to investigate the binding mode, amino acid interactions and free binding energy of these potent derivatives. Notably compounds II-VI_c and f exhibited highest amino acid bonding interactions like PHE: 699, LYS:721, LEU: 764, LEU:694, ASP:831, VAL:702, CYS:773, ARG:817.

In the context of rising energy demand and increasing stress on modern power infrastructure, Demand Response (DR) has emerged as a key enabler of grid flexibility and resilience. This work presents a real-time DR framework implemented through a hybrid hardware-software co-design involving Field Programmable Gate Array (FPGA)-based load acquisition and a UART-enabled analytics module. The system acquires real-time load values from three independent sources using a compact 3-byte UART packet, performs threshold-based peak detection, and applies curtailment decisions guided by rule-based DR strategies. Three predefined strategies-Shift, Shed, and Reschedule-are evaluated based on total energy savings, criticality-aware penalties, and a scoring function that determines the optimal strategy dynamically. A graphical interface visualizes before-and-after load profiles, computes unserved energy and served percentage, and recommends the most efficient DR response. Experimental validation using synthetic test cases demonstrates that the proposed framework can achieve up to 21.8% curtailment while preserving critical loads and maximizing served energy. The system adheres to IEEE 2030.5, 2030.7, and 1547-2018 standards and is well-suited for smart grids, microgrids, and campus-level power infrastructures requiring real-time DR control with transparency and embedded intelligence.