Srinakharinwirot University Engineering Journal

Development of an Autonomous Mobile Robot for Industry 4.0 Based on ROS 2 and LabVIEW

Tanayos Arisariyawong — 2026-01-09

Autonomous mobile robots (AMR) were an important part of modern manufacturing processes in the Industry 4.0 era. They can create paths and avoid obstacles on their own, providing high flexibility. However, commercial autonomous mobile robots are expensive and difficult to connect to external programs. As a result, small and medium-sized factories in Thailand cannot access this technology. Therefore, this research presents the development of autonomous mobile robots using the open-source ROS2 software to develop robot control and navigation systems, along with LabVIEW, an engineering software, to create a user interface. The LabVIEW program receives commands from the user on the computer and transmits data via a wireless network to the ROS2 program running on the autonomous mobile robot's computer for controlling the robot to the desired location. This autonomous mobile robot offers significantly reduced software costs, is highly flexible, and is expandable in the future. From the experimental results show that the LabVIEW program effectively transmits data to the ROS2 program. It can generate a map from manual control via LabVIEW. This autonomous mobile robot can efficiently create a path to its destination and avoid obstacles. For open-space area case, the average error in the x, y, φ are equal to 0.08 m, -0.97 m, -5.19^o. In the case of navigation with obstacles, the average error in the x, y, φ are equal to 0.07 m, -0.97 m, -4.28^o.

The Appropriate Location for Installation of Electric Vehicle Charging Stations in Buildings to Prevent and Reduce Fire Risks

Wantanee Mingma — 2026-01-09

This study examines the selection of suitable locations for electric-vehicle (EV) charging stations in buildings. Ten Thai and international standards were reviewed and synthesized into safety requirements for building administrators, facility managers, and building users. The study was conducted in the form of a safety checklist and evaluation criteria developed using the Weighted Average Method, which considers weighting factors (w) and scores (s) from the actual site inspection. The level of suitability (α) is calculated to support decision-making for selecting appropriate and safe locations for EV charging station installation, covering six aspects: structure, ventilation, fire protection, electrical safety, signage, and risk control. The checklist is designed to evaluate suitability of sites before installation and to verify safety compliance after installation. The approach was applied to a nine-story office building with an open parking area that has not yet installed EV charging stations.

A 2³ Factorial Design for Studying Parameters Affecting the Wear of TiAlN-Coated Cutting Tools in SKD61 Steel Milling

Kerkchai Meenu — 2026-01-21

Milling is one of the essential machining processes in the manufacturing industry, particularly for high-precision applications. A major challenge in this process is tool wear, which directly affects tool life and the surface quality of the workpiece. This research aims to investigate the effects of milling parameters on the flank wear of TiAlN-coated cutting tools during the milling of SKD61 steel. A 2^k factorial design of experiments was employed to analyze three independent variables: cutting speed, feed rate, and spindle speed. Flank wear (VB_A) was measured in accordance with ISO 3685-1997. The results revealed that cutting speed and feed rate significantly influenced tool wear (p < 0.05). The optimal condition—cutting speed of 40 m/min, feed rate of 828 mm/min, and spindle speed of 2,387 rpm—produced the lowest average flank wear of 0.0428 microns. These findings contribute to extending tool life and reducing production costs effectively. The outcome can be applied to define optimal milling parameters to enhance productivity and cost-effectiveness in industrial manufacturing processes.

Strength and Durability of Concrete Using Sand Replacement with Plastic Waste Aggregate

Aunchana Kijjanon — 2026-01-21

This paper aims to study the effect of plastic waste as a partial fine aggregate replacement in concrete on compressive strength, flexural strength, splitting tensile strength, abrasion resistance, thermal conductivity, rapid chloride penetration, and bulk chloride diffusion of concrete with natural aggregate. There were three types of plastic waste aggregate: polyvinyl chloride (PVC), polypropylene (PP), and polyethylene terephthalate (PET). Fine aggregate was partially replaced by plastic waste aggregate at 10%, 20%, and 30% by volume of fine aggregate. The water-to-binder ratio of 0.50 was used. The study results found that the compressive strength, flexural strength, and splitting tensile strength of concrete decreased as the amount of plastic waste aggregate replacement increased. Concrete containing 10% PVC achieved the highest strength values and had a compressive strength of 210 kg/cm², being applied for the construction of pavement and bicycle paths. By considering durability, it was found that utilizing plastic waste aggregates improved the abrasion resistance of concrete, particularly with 30% PVC, which provided the highest resistance. Thermal conductivity decreased significantly with the incorporation of plastic waste aggregates, with 10% PVC achieving the lowest value of 0.148 W/mK, representing an 83.3% reduction compared to the controlled concrete. Concretes containing 10% of PET or PP had high chloride penetrability, whereas concrete containing 10% PVC had moderate chloride penetrability.