Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Wood Surfacing

Wood Surfacing

Wood surfacing is a critical finishing process designed to smoothen the wood surface, enhance its dimensional accuracy, and make handling safer. This process compensates for potential shrinkage during the seasoning phase by marginally increasing the wood dimensions before surfacing. It also helps correct some distortions that may occur as the wood dries.
The equipment used in the surfacing process is a plane equipped with rotating blades. This tool efficiently smoothens the wood surface and can...

Thin-Walled Hollow Shafts

Thin-Walled Hollow Shafts

In analyzing a thin-walled hollow shaft subjected to torsional loading, a segment with width dx is isolated for examination. Despite its equilibrium state, this segment faces torsional shearing forces at its ends. These forces are quantitatively described by the product of the longitudinal shearing stress on the segment's minor surface and the area of this surface, leading to the concept of shear flow. This shear flow is consistent throughout the structure, indicating a uniform distribution...

Unsymmetric Loading of Thin-Walled Members: Problem Solving

Unsymmetric Loading of Thin-Walled Members: Problem Solving

The shear center of a channel section with uniform thickness, height, and width, is determined by computing the shear force in the member and calculating the moments of inertia of the sections.
To compute the shear forces, find the shear flow at a specific distance from the endpoint using the vertical shear and the moment of inertia values. The total shear force on the flange is calculated by integrating the shear flow from one end of the flange to the other.
Next, calculate the moments of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A Signal Pattern Extraction Method Useful for Monitoring the Condition of Actuated Mechanical Systems Operating in Steady State Regimes.

Sensors (Basel, Switzerland)·2025

Same author

Behaviour of Knitted Materials in a Vibrating Environment.

Materials (Basel, Switzerland)·2025

Same author

A Study of 2D Roughness Periodical Profiles on a Flat Surface Generated by Milling with a Ball Nose End Mill.

Materials (Basel, Switzerland)·2024

Same author

On the Behaviour of an AC Induction Motor as Sensor for Condition Monitoring of Driven Rotary Machines.

Sensors (Basel, Switzerland)·2023

Same author

The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination.

Sensors (Basel, Switzerland)·2022

Same author

Unimorph mirror for adaptive optics in space telescopes.

Applied optics·2018

Search research articles

Related Experiment Video

Updated: Sep 29, 2025

Laser Micromachining for Polymer Surface Topography Design

Laser Micromachining for Polymer Surface Topography Design

Published on: September 19, 2025

Surface Quality Optimization in Micromachining with Cutting Tool Having Regular Constructive Geometry.

Catalin Gabriel Dumitras¹, Dragos Florin Chitariu¹, Florin Chifan¹

¹Faculty of Machine Manufacturing and Industrial Management, Technical University Gheorghe Asachi of Iasi, 700050 Iasi, Romania.

|March 26, 2022

Summary

This summary is machine-generated.

This study investigates how micromachining parameters affect surface quality. A mathematical model optimizes surface roughness in micro-cutting processes like micromilling and microturning.

Keywords:

fractional factorial design micro-cutting optimization regular constructive geometry surface quality

More Related Videos

Computer Numerical Control Micromilling of a Microfluidic Acrylic Device with a Staggered Restriction for Magnetic Nanoparticle-Based Immunoassays

Computer Numerical Control Micromilling of a Microfluidic Acrylic Device with a Staggered Restriction for Magnetic Nanoparticle-Based Immunoassays

Published on: June 23, 2022

Performing Microscope-Mounted Y-Shaped Cutting Tests

Performing Microscope-Mounted Y-Shaped Cutting Tests

Published on: January 20, 2023

Related Experiment Videos

Last Updated: Sep 29, 2025

Laser Micromachining for Polymer Surface Topography Design

Laser Micromachining for Polymer Surface Topography Design

Published on: September 19, 2025

Computer Numerical Control Micromilling of a Microfluidic Acrylic Device with a Staggered Restriction for Magnetic Nanoparticle-Based Immunoassays

Computer Numerical Control Micromilling of a Microfluidic Acrylic Device with a Staggered Restriction for Magnetic Nanoparticle-Based Immunoassays

Published on: June 23, 2022

Performing Microscope-Mounted Y-Shaped Cutting Tests

Performing Microscope-Mounted Y-Shaped Cutting Tests

Published on: January 20, 2023

Area of Science:

Materials Science and Engineering
Manufacturing Technology

Background:

Traditional micro-cutting methods like grinding and diamond turning often use tools with irregular geometry.
This irregularity complicates the optimization of machined surface quality using standard geometric parameters (e.g., clearance angle α, rake angle γ).

Purpose of the Study:

To investigate the influence of micromachining parameters on the quality of processed surfaces.
To establish a mathematical model for optimizing surface quality based on roughness in micro-machining.

Main Methods:

Utilized a fractional factorial design (2^6-1, centered and rotatable) to analyze the impact of cutting tool geometry.
Developed a mathematical model incorporating five independent cutting parameters to predict and optimize surface roughness.

Main Results:

Identified key micromachining parameters influencing surface quality.
Successfully created a predictive model for surface roughness optimization.
Demonstrated the relationship between cutting tool geometry and machined material hardness.

Conclusions:

The developed mathematical model enables effective optimization of surface quality in micro-machining.
Findings are applicable to optimizing processes such as micromilling and microturning.
Understanding parameter influence is crucial for achieving desired surface finishes in precision manufacturing.