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Reynolds number and it's Calculation Reynolds number is a dimensionless value which is applied in fluid mechanics to represent whether the fluid flow in a duct or pat a body is steady or turbulent. This value is obtained by comparing the inertial force with the viscous force. The Reynolds number id denoted by Re. Reynolds number is given by Reynolds Number = Inertial Force / Viscous Force The Reynolds number formula is expressed by, NRe = ρVL / μ Where, ρ = Fluid density V = Fluid velocity μ = Fluid viscosity L = length or diameter of the fluid. Reynolds number formula is used to determine the velocity, diameter and viscosity of the fluid. The Kind of flow is based on the value of Re If Re < 2000, the flow is called Laminar If Re > 4000, the flow is called turbulent If 2000 < Re < 4000, the flow is called transition. Example 1 Calculate the Reynolds number if a liquid of viscosity 0.5 Ns/m2 and relative density of 500 Kg/m3 through a 10 mm pipe flows with a Velocity of 3 m/s. Solution Given: μ = 0.5 Ns/m2 ρ = 500 Kg/m3 L = 10 × 10-3 m V = 3 m/s The Reynolds formula is NRe = ρVL / μ NRe = (500×3×10×10−3)/ 0.5 NRe = 15000 x 10-3 / 0.5 NRe = 30 Here, we notice that the value of Reynolds number is less than 2000, therefore the flow of liquid is laminar #Chemical #process_engineer #Reynolds_no #fluid_flow #fluid_machanics #laminar #flow_pattern

Microstructural modeling - MatCalc Software Case Study Microstructure features like precipitates distributions, dislocation density, grain/subgrain sizes, as well as vacancy concentration are decisive for the material properties. Capability of microstructure evolution modeling gives us a great advantage in understanding, planning and optimizing of the process parameters. Instead of a bunch of independent models, we succeed to develop a coupled framework considering the mutual interactions of the microstructure elements and as a consequence a solution for the microstructure evolution simulations. With our available modeling technique, the microstructure parameters of different materials can be calculated during and/or after various thermomechanical operations, such as rolling, extrusion and forging. Typical application examples: ▪ Strain induced precipitates ▪ Vacancy evolution in Al-alloys ▪ Recrystallization in microalloyed steels Read more → https://lnkd.in/gD-Zh85Z

In this video, I guide you through constructing an embankment over dry and saturated soil, featuring advanced techniques like polymer cell integration for enhanced stability. Watch as we set up the model, create intricate layers of soil, and define various parameters for optimal performance. Learn about stress propagation, pore pressure variations, and how to visualize results effectively! Whether you're a beginner or looking to advance your simulation skills, this tutorial is packed with valuable insights! Don’t forget to like and subscribe for more engineering content! For more tutorials, visit us at: https://lnkd.in/g5EZjpwC Or email address: administrator@hyperlyceum.com #Abaqus #SoilModeling #EmbankmentConstruction #CivilEngineering #FiniteElementAnalysis #SimulationTutorial #EngineeringTips #StructuralEngineering #Polymer #StressAnalysis #PorePressure #EngineeringEducation #STEM

Microstructural modeling - MatCalc Software Case Study Microstructure features like precipitates distributions, dislocation density, grain/subgrain sizes, as well as vacancy concentration are decisive for the material properties. Capability of microstructure evolution modeling gives us a great advantage in understanding, planning and optimizing of the process parameters. Instead of a bunch of independent models, we succeed to develop a coupled framework considering the mutual interactions of the microstructure elements and as a consequence a solution for the microstructure evolution simulations. With our available modeling technique, the microstructure parameters of different materials can be calculated during and/or after various thermomechanical operations, such as rolling, extrusion and forging. Typical application examples: ▪ Strain induced precipitates ▪ Vacancy evolution in Al-alloys ▪ Recrystallization in microalloyed steels Read more → https://lnkd.in/gD-Zh85Z

Microstructural modeling - MatCalc Software Case Study Microstructure features like precipitates distributions, dislocation density, grain/subgrain sizes, as well as vacancy concentration are decisive for the material properties. Capability of microstructure evolution modeling gives us a great advantage in understanding, planning and optimizing of the process parameters. Instead of a bunch of independent models, we succeed to develop a coupled framework considering the mutual interactions of the microstructure elements and as a consequence a solution for the microstructure evolution simulations. With our available modeling technique, the microstructure parameters of different materials can be calculated during and/or after various thermomechanical operations, such as rolling, extrusion and forging. Typical application examples: ▪ Strain induced precipitates ▪ Vacancy evolution in Al-alloys ▪ Recrystallization in microalloyed steels Read more → https://lnkd.in/gD-Zh85Z

The high-resolution elemental mapping of light elements such as boron, with automated phase identification, using QUANTAX WDS and our ESPRIT software: In this example combined EDS and WDS imaging was used to map the elements and phases in a steel dispersion layer, with particular interest paid to the non-metallic boride inclusions present in the layer. Here, QUANTAX WDS was shown to be 80 times more sensitive towards Boron than EDS. The results from both the WDS and EDS analysis were automatically integrated using our ESPRIT software where an AutoPhase function was then applied to determine each phase present. Find out more 👉 https://lnkd.in/dFW68mRC #brukernanoanalytics #nanoanalysis #elementalanalysis #EDS #XFlash7 #WDS #metallurgy #steel #WDS #materialscience #QUANTAX #QUANTAXEDS #QUANTAXWDS #boron #elementalmapping #electronmicroscopy #SEM

Bruker WDS High-resolution elemental mapping of light elements such as boron !

✨I'm excited to share our latest publication in the 'Journal of Alloys and Compounds!' ✨ Our paper, "Compressive Mechanical Properties of Thermal Sprayed AlCoCrFeNi High Entropy Alloy Coating," delves into the unique properties of AlCoCrFeNi coatings. Using atmospheric plasma spraying, we achieved a 300 μm thick coating with a microstructure featuring a nickel solid-solution matrix and secondary phases. Key highlights include: - Superior yield strength of 963.14 MPa and compressive strength of 1005.58 MPa in the cross-sectional direction. - The presence of secondary phases and intermetallics acting as reinforcement, enhancing load-bearing capacities. - Insights into deformation mechanisms, revealing that phase and splat boundaries play a crucial role in failure modes. Dive into the details and discover how this research can influence future applications in high-performance environments! #Research #MaterialsScience #HighEntropyAlloys #Engineering #Innovation A special thanks to Animesh Basak for leading this research.

Porous Graphene JCPSG-300-5, JCPSG-700 Porous Graphene JCPSG-300-5 Number of Layers: <7 layers Flake Diameter: <1 micron Pore Diameter: 2-7 nanometers Specific Surface Area: 300-400 m²/g Conductivity: 6000 S/m Preparation Method: Chemical Reduction Transmission Electron Microscope (TEM): Energy Dispersive Spectroscopy (EDS): Porous Graphene JCPSG-700 No. Item Value Detection Method 1 Carbon Content % 83.07 Elemental Analyzer 2 Particle Size (D50) μm 30 Laser Particle Size Analyzer 3 Conductivity S/m 2606.97 Four-Point Probe Method 4 Specific Surface Area m²/g 714.6 BET Method info@graphenerich.com https://lnkd.in/guHk7FZr

In the steel industry, quality is everything. Here’s how we rigorously test our steel to meet top industry standards: 🔬 German Oxford Spectrometer: Accurately detects the chemical composition, ensuring strength and durability. 🔍 Metallographic Microscope: Examines the microstructure, predicting mechanical properties and assessing heat treatment effectiveness. 🛠️ Ultrasonic Testing: Uses sound waves to detect internal defects like cracks and voids, ensuring the steel’s integrity. What other methods do you think are crucial for steel testing? Let’s discuss! 👇 #SteelTesting #QualityAssurance #Metallurgy #Engineering