Excess Volume for three binary mixtures viz. ethanol + [empy][EtSO4], water +[empy][EtSO4] and 1-propanol +[empy][EtSO4] and ternary mixtures of ethanol + water +[empy][EtSO4] at different mole fractions at temperature 298.15K

Keywords : Binary, Ternary, Ethanol, Propanol

Author : Jeet Pal Singh, Arvind Kumar

Title : EXPERIMENTAL INESTIGATION ON PHYSICO-CHEMICAL PROPERTIES OF SOME BINARY AND TERNARY LIQUID MIXTURES

Volume/Issue : 2025;07(06)

Page No : 1-16

Industrial revolution is one of the biggest challenges in today's innovative and technical era so this world has gone through a series of industrial revolutions since 18th century. Fourth industrial revolution is the need of every country for the existence of big data (BD) and artificial intelligence (AI) and making a digital based impact. Today's world is the result of innovations and technological advances due to BD and AI. Every country is aiming to achieve fourth industrial revolution to empower society in a better way for the economic and social development. We are at the beginning of a fourth industrial revolution that is fundamentally changing the way we live, work, and relate to one another. Fourth industrial revolution is related with big data, artificial intelligence, robotics, the internet of things, autonomous vehicles, 3D printing, nanotechnology, materials science etc. The objective of this paper is to demonstrate and ascertain the relation & impact of big data and artificial intelligence between Individual perception & fourth industrial revolution. After study and analysis of wide literature, it is reasoned out that fourth industrial revolution has deep impact on the BD & AI. Research shows that BD & AI both are giving the pace to the fourth industrial revolution in changing the way to work, socialize, create and share information, and organize the flow of people, ideas, and things around the globe. In this context, the researcher has undertaken to analyze the Individual perception towards fourth industrial revolution on behalf of big data and artificial intelligence. The primary data was analyzed for correlation and t test to compare these two for knowing its impact on 4th industrial revolution. The secondary data is used to identify the theory of BD & AI and how it is beneficial for the fourth industrial revolution.

Keywords : Fourth Industrial Revolution, Individual Perception, Technology, Big data (BD), Artificial intelligence (AI), 3D etc.

Author : Dr. NEERAJ KUMAR, Dr. SANTOSH KUMAR GUPTA

Title : Impact of Big data & Artificial intelligence on Fourth Industrial Revolution

Volume/Issue : 2025;07(06)

Page No : 17-25

In the current work, the CAD model of pistonhas been developed by using ANSYS design modeler. The model has been simulated using ANSYS software on steady state thermal and static structural domain 15.0 workbench in order to observe various parameters effecting the temperature distribution between different thickness of thermal barrier coating. Four types of configurations of coating thickness were used i.e. 0.5, 0.7, 0.9, 1.2 mm. An optimized model of pistonhas been developed as stated configurations of coated piston. The simulations have been performed at a standard temperature that is the temperature generated during working of internal combustion engine. The simulation of the optimized model gives lower value of temperature distribution, thermal stress and deformation. The results are validated with reported existing previous work. The configuration of thickness between 0.7 to 0.9 of thermal barrier coating coated with sodium stannate material exhibits higher temperature distribution compared to titanium dioxide, zirconium and Ai - Si.

Keywords : Piston, Temperature distribution, Thermal stress, Deformation, outlet port sodium stannate, titanium dioxide, zirconium and Ai – Si, ANSYS, CAD, Simulation.

Author : Sujeet Kumar, Anurag Bagri, Vinay Kumar Yadav

Title : Effect of Thermal barrier coating with different Thickness in Piston to enhance Temperature distribution

Volume/Issue : 2025;07(06)

Page No : 26-35

A graph G with p vertices and q edges is said to be vertex odd mean graph if there is an injective function f: V(G)→ { 1, 3, 5……., 2q-1}such that each edge uv is labeled as ௙(௨)ା௙(௩) ଶ if f(u) +f(v) is even and 𝒇(𝒖)ା𝒇(𝒗)ା𝟏 𝟐 if f(u) +f(v) is odd, then the resulting edges are distinct. The findings of this paper are, double triangular snake (D (𝑘𝐶௡) + 2𝑛𝑃ଶ), Jelly fish J(m, n), 𝑃௡ ° 𝐻ଵ, and an alternate triangular snake A(𝑇௡ ) are vertex odd mean graphs.

Keywords : Mean labeling, vertex odd mean graph, double triangular snake graph, Jelly fish graph.

Author : Dr.A.Sasikala, M.Harikumaran

Title : VERTEX ODD MEAN LABELING OF DOUBLE TRIANGULAR SNAKE (D (𝒌𝑪𝒏) + 𝟐𝒏𝑷𝟐), JELLY FISH J(M, N), 𝑷𝒏 ° 𝑯𝟏, AND AN ALTERNATE TRIANGULAR SNAKE A(𝑻𝒏 )

Volume/Issue : 2025;07(06)

Page No : 36-46

World is getting evolved around technology, automation technology is one such technology which moves the world to smarter and comfort zone.Robotics and automation technology find its position in real time application with IoT etc. Industrial sensors further categorized as retro reflective sensor, capacitibve sensor, photoelectric sensor, ultrasonic sensor and magnetic sensor(Proximity sensor). The switching frequency of the sensor is the key factor to determine the performance of the system.In this paper a detailed study on one such key factor named switching frequency is taken for experimental study with magnetic sensors. In this paper, a genuine attempt is made statistically for captureing the switching frequency using PLC based on SPSS tool.

Keywords : Switching frequency, PLC, Proximity e-Sensor

Author : R.Rakesh, I.Karthic Subramiyan, Dr.R.Arumugam, M.Rajathi

Title : EXPERIMENTAL INVESTIGATION OF SWITCHING FREQUENCY OF MAGNETIC SESNOR USING STATISTICAL APPROACH

Volume/Issue : 2025;07(06)

Page No : 47-57