6.220 hasil
Menampilkan 1–20 · 0,14 detik · RSS
Machines
Scopus
ISSN 2075-1702 · MDPI AG · 6.220 artikel di indeks
-
Artikel Jurnal Teks lengkap
Feedrate Profile Shaping-Based Five-Axis CNC Feedrate Planning Method Under Machine Axis Constraints
Feedrate planning is a critical process in computer numerical control (CNC) machining, playing a key role in ensuring machining quality and improving efficiency. This paper proposes a feedrate planning method based on feedrate profile shaping to satisfy machine axis constraints, including axis…
-
Artikel Jurnal Teks lengkap
Fault Diagnosis and Health Monitoring Method for Semiconductor Manufacturing Equipment Based on Deep Learning and Subspace Transfer
Semiconductor manufacturing equipment such as vacuum pumps, wafer handling mechanisms, etching machines, and deposition systems operates for a long time under high vacuum, high temperature, strong electromagnetic, and high-precision continuous production environments. Its reliability is directly…
-
Artikel Jurnal Teks lengkap
Effective Compensations for Disability: Results from a Usability Evaluation of an Assistive Robot Among Spinal-Cord-Injured Users
Wheelchair-mounted robotic arms (WMRAs) are assistive manipulators designed to increase the functional independence of individuals with limitations in the upper and lower extremities. While previous research has identified several visual, cognitive, and physical abilities that facilitate optimal…
-
Artikel Jurnal Teks lengkap
Design and Analysis of an Under-Actuated Adaptive Mechanical Gripper
Robotic grippers play a crucial role in pick-and-place tasks, as their performance directly affects the robot’s operational efficiency, stability, and safety. In industrial applications, such as coal gangue sorting, the target objects have irregular shapes and sharp surfaces, which pose challenges…
-
Artikel Jurnal Teks lengkap
A Moving Window-Based Feature Extraction Method for Gearbox Fault Detection Using Vibration Signals
Early gearbox defect detection is imperative for reducing unplanned downtime, ensuring reliability and efficiency, and minimizing maintenance expenses. In recent years, with the rise of Artificial Intelligence (AI) and digital transformation, gearbox defect detection using AI has gained popularity…
-
Artikel Jurnal Teks lengkap
Reinforcement Learning for UAV Control: From Algorithms to Deployment Readiness
The rapid expansion of unmanned aerial vehicles (UAVs) across diverse application domains has underscored the need for reliable autonomy in complex and dynamic environments. To advance toward this goal, in recent years, learning-based control strategies have emerged as a promising alternative…
-
Artikel Jurnal Teks lengkap
Contact Dynamics of a Rotary Drillstring System in Elliptical Wellbores
As drilling depths continue to increase in oil and gas operations, the associated downhole environment has grown more complex. Data from recent field measurements reveals significant differences between the major and minor axes of the wellbore cross sections, resulting in an elliptical rather than…
-
Artikel Jurnal Teks lengkap
Trajectory Tracking of Underwater Hexapod Robot Based on Model Predictive Control
To achieve high-precision trajectory tracking control for an underwater hexapod robot, this paper proposes a hierarchical control architecture. Firstly, a multi-rigid-body dynamic model for the robot is established based on the Newton-Euler method and reasonably simplified. Secondly, a Central…
-
Artikel Jurnal Teks lengkap
Machine Learning Analysis of Inlet Air Filter Differential Pressure Effects on Gas Turbine Power and Efficiency with Carbon Footprint Assessment
This study presents a detailed evaluation of how inlet air filter differential pressure (Filter DP) affects the operational performance of a gas turbine, focusing on its influence on power generation and thermal efficiency. Real operating data combined with machine learning (ML) techniques were…
-
Artikel Jurnal Teks lengkap
The Influence of Braking Heat and Thermal Expansion on Tread Crack of Railway Wheels
Combining with the wheel–rail rolling contact models and extended finite element method (XFEM), this study systematically analyses the influence of wheel thermal expansion induced by braking thermal load on the tread cracking behavior of railway freight trains during the emergency braking process…
-
Artikel Jurnal Teks lengkap
Simulation Analysis of Non-Pneumatic Tire Wear Based on Temperature-Corrected Archard Model
Non-Pneumatic Tires (NPTs) have been recognized for their advantages, such as low rolling resistance, burst resistance, and lightweight design, which make them highly suitable for application in electric vehicles under complex conditions, including high-frequency starts and stops and high torque…
-
Artikel Jurnal Teks lengkap
Linear Algebra-Based Multivariable Controller Design for Gas Turbine Machines with State-Derivative Feedback
This paper presents a linear algebra-based control algorithm for multivariable gas turbine systems using matrix polynomial theory and the Kronecker product to assign block roots (i.e., block eigenvectors with prescribed latent structure). State and state-derivative feedback strategies are…
-
Artikel Jurnal Teks lengkap
Multi-Criteria Selection of FFF-Printed Gyroid Sandwich Structures in PLA and PLA–Flax Using AHP–TOPSIS
Additive manufacturing enables lightweight sandwich structures with complex cellular cores, but the selection of material and process settings typically involves trade-offs among mechanical performance, cost, and sustainability. This study proposes an integrated multi-criteria decision-making…
-
Artikel Jurnal Teks lengkap
Investigation of Sintering Parameters for Low-Cost 3D-Printed Cast Iron Using Material Extrusion
Metal Material Extrusion (MEX/M) provides a rapid, low-cost additive manufacturing option for individual and batch productions; however, cast materials are not typically available in the material pool. White cast iron is subject to long casting lead times and high foundry costsThis research details…
-
Artikel Jurnal Teks lengkap
Numerical Validation of a New Nonlinear Partially Averaged Navier–Stokes Model for Simulating Curved Flows
To address the insufficient near-wall prediction capability of the traditional Partially Averaged Navier–Stokes (PANS) model in simulating curvature flows, a new nonlinear PANS model with near-wall correction was developed in this study. The model, referred to as the CLS PANS model, is constructed…
-
Artikel Jurnal Teks lengkap
Smart Predictive Maintenance: A TCN-Based System for Early Fault Detection in Industrial Machinery
Modern factories still struggle with unexpected machine failures because traditional maintenance systems depend on fixed rules and threshold-based alerts. These older approaches often overlook subtle or complex patterns in multimodal sensor data, causing them to miss early signs of wear and leading…
-
Artikel Jurnal Teks lengkap
Braking Force Control for Direct-Drive Brake Units Based on Data-Driven Adaptive Control
To address the increasing demands for faster response and higher control accuracy in the braking systems of electric and intelligent vehicles, a novel brake-by-wire actuation unit and its braking force control methods are proposed. The braking unit employs a permanent-magnet linear motor as the…
-
Artikel Jurnal Teks lengkap
Determination of Pressure Wave Propagation Velocity in Closed Hydraulic Pipes
This paper focuses on determining the propagation velocity of pressure waves in closed hydraulic pipes. It is shown that under transient conditions, the propagation velocity of pressure waves depends, among other things, on temperature, pressure and the substitute bulk modulus. Accurate knowledge…
-
Artikel Jurnal Teks lengkap
A Multimodal Machine Learning Framework for Optimizing Coated Cutting Tool Performance in CNC Turning Operations
The present study introduces a comprehensive machine-learning framework for modeling, interpretation and optimization of the CNC turning procedure employing coated cutting inserts. The primary novelty of this work lies in the integrated pipeline that leverages a multimodal experimental dataset in…
-
Artikel Jurnal Teks lengkap
AI-Assisted Bayesian Optimization of a Permanent Magnet Synchronous Motor for E-Bike Applications
This paper presents an artificial intelligence (AI)-assisted multi-objective topology optimization of a 48 V interior permanent magnet synchronous motor (PMSM) intended for mid-drive e-bike applications. The machine features a 48-slot, 8-pole stator–rotor combination with Δ-shaped three buried…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.