The Journal of Industrial Technology

Application of Piezoelectric Sensors to Determine the Strength of Eco-Friendly Construction Material

2026-08-18T17:49:03+07:00

This study evaluates the strength of eco-friendly construction materials using a non-destructive bender element technique with piezoelectric sensors. The shear wave velocity (V_s) was measured and correlated with unconfined compressive strength (UCS). Specimens were prepared from Bangkok soft clay mixed with 8% Type 1 Portland cement and reinforced with natural chicken feather fibers at 0, 0.5, 1.0, and 1.5% by volume. After 28 days of curing period, results showed that piezoelectric sensors effectively assess material strength, with V_s exhibiting a positive correlation with UCS. The optimal fiber content was found to be 0.5%, yielding the maximum UCS and exceeding the Department of Highways standard (294 kPa). Conversely, fiber content exceeding 0.5% reduced both compressive strength and wave velocity due to non-uniform fiber distribution and increased voids within the material matrix.

Influence of Natural Organic Matter on Fouling Mechanisms and Hexavalent Chromium Removal by Nanofiltration Membranes

2026-08-18T18:36:31+07:00

This research aimed to evaluate the performance of nanofiltration (NF) membranes for the removal of hexavalent chromium (Cr⁶⁺) (10, 20 and 30 mg/L) from synthetic wastewater in the presence of natural organic matter (NOM) (10 mg/L as NOM) under a dead-end filtration system. The investigation focused on permeate flux behavior and fouling mechanisms using Hermia’s models. The results revealed that the coexistence of Cr⁶⁺ and NOM resulted in a significantly flux decline, which was attributed to ion accumulation and the deposition of organic matter on the membrane surface, leading to membrane fouling. Among the models, the Cake Filtration Model (CFM) showed the best agreement with the experimental data. In addition, the presence of NOM enhanced the removal efficiency of Cr⁶⁺. This improvement can be explained by the formation of a cake layer on the membrane surface and the electrical repulsion mechanism. This study highlights the significant role of NOM in membrane fouling behavior removal performance of nanofiltration membranes. The findings provide useful insights for design and development of appropriate water treatment processes for wastewater containing both heavy metals and natural organic matter.

Applying Social Engineering for Localized Technology Development: A Case Study in Forage Management for Cattle Farmers

2026-08-19T08:26:00+07:00

This study applies the social engineering concept to localize technology and enhance forage management for cattle farmers in Pawong and Ko Taeo Sub-districts, Mueang District, Songkhla Province. The methodology integrated five social engineering tools (Fah Prathan, Life Clock, Development Timeline, Process Timeline, and M.I.C. Model) with fundamental quality tools (Check Sheets, Pareto Charts, and Fishbone Diagrams) to systematically identify root problems and formulate solutions. Additionally, an Abnormality Index (AI) assessed occupational health risks, alongside a design evaluation for the newly developed equipment. The findings indicated significant deficiencies in existing forage management practices and prevalent occupational health issues among farmers. The calculated AI score of 2.46 underscored a critical need for ergonomic interventions and heightened operational caution. Through the application of social engineering principles, comprehensive solutions were devised. These interventions included knowledge transfer regarding Napier grass cultivation to mitigate natural forage scarcity, alongside the design and fabrication of a mechanized grass chopper machine to supplant manual labor. Expert evaluations of the prototype across five dimensions yielded an aggregate mean score of 4.30, demonstrating its high viability for practical implementation. Beyond localized agricultural advancements, the integration of this social engineering framework significantly bolstered students' essential 21st-century soft skills, cultivating proficiencies in critical thinking.

Influence of Engine Oil Viscosity on the Combustion and Performance Characteristics of Gasoline Direct Injection Engines

2026-08-19T12:32:51+07:00

The present study examines the influence of lubricating oil viscosity on the combustion dynamics and overall performance of a gasoline direct injection (GDI) engine. Experimental evaluations were conducted using three multigrade oils (SAE 10W-30, 10W-40, and 20W-50) at a constant engine speed of 2000 rpm across low (10 Nm) and medium (50 Nm) load conditions. The rheological analysis confirmed an exponential decrease in viscosity with rising temperatures, with SAE 20W-50 exhibiting the highest flow resistance. Engine performance data revealed that the lowest viscosity variant (SAE 10W-30) minimized frictional losses, thereby maximizing peak cylinder pressure, indicated mean effective pressure, and fuel economy. Furthermore, SAE 10W-30 recorded the optimal brake thermal efficiency (≈25%). Although SAE 20W-50 offered enhanced film strength, it resulted in marginally reduced efficiency. Under medium-load conditions, the thermal reduction of viscosity diminished the performance variations among the tested oils. The study concludes that strategic selection of lower-viscosity lubricants can substantially improve the mechanical efficiency and fuel economy of GDI engines under partial loads, while maintaining adequate component durability.

Design and Development of a Fixture for an Automated Mobile Rice Thresher to Improve Painting Process Efficiency

2026-08-19T12:44:39+07:00

The Thai agricultural machinery manufacturing industry faces critical challenges pertaining to labor shortages and the imperative to enhance production efficiency, particularly within the painting process, which represents a significant bottleneck in the production workflow. This research aimed to design and develop an automated mobile fixture device for rice thresher in the painting process. Motion and time study techniques were applied to analyze the operational workflow and identify process, utilized fishbone diagrams to systematically identify root causes of inefficiencies, developed an automated system incorporating an electric motor, gear reduction mechanism, and Programmable Logic Controller (PLC)-based control system. Finally, performance testing and economic cost-benefit analysis. The findings revealed that the developed automated fixture device reduced painting process cycle time from 120 minutes to 95.77 minutes, representing a 20.19% reduction, Furthermore, the number of operational steps was decreased from 19 steps to 13 steps, corresponding to a reduction of 31.58%. Economic analysis revealed an operational value of 3,587,520 Thai Baht per annum, with a payback period of 0.16 years, equivalent to approximately two months. In addition, the production capacity was increased from 4 units to 5 units per day, thereby enhancing manufacturing efficiency and augmenting production revenue.

An Application of Fuzzy Analytic Hierarchy Process for Spare Parts Prioritization in the Beverage Industry

2026-08-19T13:21:50+07:00

Beverage production and packaging operations, including both bottling and canning lines, rely heavily on the continuity and reliability of equipment, making effective spare parts inventory management critical for improving machine availability and reducing potential losses. However, the large variety of spare parts necessitates a rational prioritization approach that accounts for both quantitative and qualitative factors. This study aims to compare spare parts prioritization methods based on the Fuzzy Analytic Hierarchy Process (fuzzy AHP) and conventional ABC analysis in order to develop improved spare parts inventory management policies. The analysis covers 806 spare part items based on 60 months of historical usage data. Items with no issuance for more than six months account for 448 items and represent 53.77% of the total inventory value. Using Fuzzy AHP under five evaluation criteria, the items were classified into A, B, and C classes with proportions of 20.10%, 29.90%, and 50.00%, respectively, compared with 19.48%, 21.09%, and 59.43% from traditional ABC analysis. The resulting priority classes from both methods were then used to define inventory policies and to simulate 12 months of inventory control. The fuzzy AHP-based policy achieved an average service level of 81.00%, higher than the 79.86% obtained under the ABC-based policy (an improvement of 1.14 percentage points), reduced stockout occurrences from 1,645 to 1,552, and reduced the total inventory value by 1.48% as well as spare parts management costs by 235,209 THB. These results indicate that fuzzy AHP is more suitable than standard ABC analysis for spare parts prioritization and inventory policy design in beverage production and packaging operations.

Comparative Study on the Dynamic Performance of Natural Rubber-Based and Polyurethane Rail Dampers

2026-08-19T14:53:14+07:00

Wheel-rail interaction is the primary source of railway rolling noise, which is commonly mitigated at the source by installing Tuned Rail Dampers (TRDs). While polyurethane (PU) is the conventional material used, natural rubber (NR) offers a more sustainable and eco-friendlier alternative; however, comparative studies on their dynamic performance remain limited. This study evaluates and compares the track vibration attenuation of NR-based dampers developed with NR mass proportions of 0%, 30%, 50%, and 70% against that of commercial PU dampers. Dynamic responses and vibration characteristics were assessed through modal analysis and Track Decay Rate (TDR) measurements in accordance with the BS EN 15461 and BS EN ISO 3095 standards. The results indicate that the 50% NR formulation achieved optimal damping performance, effectively tuning and reducing vibrations within critical frequency bands (400–1,000 Hz and 1,600–3,000 Hz). Notably, the 50% NR damper provided higher and more stable vibration attenuation than the commercial PU damper, particularly in the high-frequency range of 2,000–3,000 Hz. These findings confirm the potential of natural rubber as a viable, sustainable, and highly effective alternative for modern railway noise control.

Experimental Design for Optimization of Conditions Affecting Over-Standard Paint Thickness in Car Hood Electrodeposition Process

2026-08-20T09:43:49+07:00

The objective of this research is to determine the optimal conditions for the electrodeposition (ED) painting process of car hoods to address the issue of over-standard paint thickness, which adversely affects product quality and production costs. This study applies the Box-Behnken Design to investigate factors influencing the occurrence of over-standard paint thickness. The three key factors examined include voltage (250–300 V), temperature (32–35 °C), and biocide concentration (200–400 L). The experimental results indicate that all three factors are statistically significant at a 95% confidence level. Through mathematical modeling and optimization, the optimal conditions were found to be a voltage of 252 V, a temperature of 32 °C, and a biocide concentration of 345 L. Confirmatory experiments were conducted to validate the accuracy of the mathematical model by comparing actual experimental values with predicted values. The results showed a percentage error of 1.32%, which is within the 5% limit. This demonstrates that the optimal conditions for the ED painting process of car hoods derived from the mathematical model are reliable and suitable for practical application.

Properties of Pervious Concrete Containing Fly Ash and Polyvinyl Alcohol Fibers

2026-08-20T10:53:54+07:00

This study focuses on the development of pervious concrete by incorporating fly ash and polyvinyl alcohol (PVA) fibers. PVA fibers were utilized due to their high tensile strength; when micro-cracks occur within the concrete matrix, these fibers function as a bridging mechanism across the cracks. Consequently, the mechanical and physical properties of the concrete were investigated. Fly ash was used to replace cement at a ratio of 10:90 by weight of binder, while PVA fibers were added at 0.5% by weight of cement. For the coarse aggregate, stone particles retained on sieve sizes No. #8 and No. #3/4 were selected to investigate the effect of different aggregate sizes on the properties of pervious concrete. The experimental program included tests on water absorption, porosity, unit weight, compressive strength, and flexural strength at 28 days of curing. The results indicated that water absorption values ranged from 9.00% to 18.70%, porosity ranged from 4.50% to 9.60%, unit weight ranged from 2,027 to 2,335 kg/m³, and compressive strength values ranged from 7.89 to 16.30 MPa at 28 days of curing. The incorporation of 0.5% PVA fibers by weight, together with 10% fly ash as a cement replacement, yielded a significant positive impact on the mechanical properties of pervious concrete. The PVA fibers acted as an internal reinforcing network that enhanced flexural capacity and improved binder continuity around the coarse aggregates. Although fiber inclusion affected the viscosity of the concrete mixture and void formation, the selection of an appropriate aggregate grading, such as Mix S5, effectively compensated for these drawbacks and achieved the highest compressive strength of 16.30 MPa, which exceeds the standard criteria generally established for pervious concrete.

Design and Development of the Lygodium Shoulder Bags through the Integration of Quality Function Deployment and Kansei Engineering

2026-08-20T14:31:21+07:00

This research aims to design and develop lygodium shoulder bags through the Integration of Quality Function Deployment and Kansei Engineering. It explores and converts customer needs into factors influencing product purchase decisions. The results were analyzed using Quality Function Deployment within the product planning matrix. It focuses on converting customer requirements into technical specifications. Kansei Engineering was used for statistical analysis, and Quantification Theory Type I was applied to convert qualitative data into quantitative data. The results showed that product development based on quality function deployment analysis led to changes in design, quality, materials, functionality, and price, which were appropriately reflected in the technical requirements. Quantification Theory Type I led to changes in product characteristics such as weaving patterns, shapes, dimensions, and shoulder strap sizes. Therefore, in the design and development of lygodium shoulder bags, customers were most satisfied with the weaving method, which was identified as the top priority. The satisfaction level regarding the weaving method was very high (average = 4.51), and the sense of elegance also received a good rating (average = 4.37). The findings provide an important foundation for developing new products that meet user needs while promoting the future utilization of locally available weeds.

Two-phase Induction Motor Drive with Two-phase Matrix Converter with Sinusoidal PWM

2026-08-20T17:48:31+07:00

This paper presents a two-phase induction motor drive system with a two-phase matrix converter. The proposed topology employs a total of eight bidirectional switches, each switch using a 2 IGBT–2 diode configuration. The converter is transformation a fixed frequency and amplitude single-phase AC supply into a variable frequency and amplitude two-phase AC output with a 90° phase difference, operating at variable frequencies of 12.5 Hz, 25 Hz, and 50 Hz, as well as adjustable modulation indices of 0.2, 0.4, 0.6, 0.8, and 1.0, utilizing sinusoidal pulse width modulation (SPWM). The system was modeled and verified through MATLAB/Simulink simulations, after which a laboratory prototype was developed and tested with a two-phase induction motor rated at 1HP. The measured waveforms of the input and output for voltage and current are shown for the testing. Moreover, the testing of motor speed can be examined under no-load conditions that it increasing with the frequency of the SPWM at modulation index of 0.8 for verification this converter performance. These results verify the good performance of the proposed converter and provide a foundation for future improvements in efficiency through the development for the high performance in the future works.

Effects of Natural Oils on the Oxidative Stability of a High Cannabidiol Cannabis Oil Formulation under Accelerated Thermal Conditions

2026-08-20T18:04:00+07:00

High Cannabidiol cannabis oil formulations contain both Cannabinoids and carrier oil which may undergo chemical changes when exposed to stress factors during storage, particularly heat, light, and oxygen. This study aimed to investigate the effects of three natural oils with antioxidant properties on the stability of High Cannabidiol cannabis oil formulations Coriander seed oil (CC) Garlic oil (CG) and Moringa oil (CM) in comparison with Vitamin E (CE) and a control formulation containing Sesame oil (CS). Each oil was incorporated into the Cannabis oil formulation at concentrations of 20–80% w/w. The samples were then subjected to accelerated thermal stress at 70°C for 14 days (Thermal) and compared with untreated initial samples (Initial). The stability of the formulations was evaluated based on Acidity Value Peroxide Value Antioxidant activity using the DPPH radical scavenging assay, and Cannabidiol (CBD) content determined by high-performance liquid chromatography (HPLC). The results showed that oil concentration significantly affected Acidity Value and Peroxide Value in all formulations (p < 0.05). Under thermal stress, the Garlic oil (CG) and vitamin E (CE) formulations tended to exhibit lower Acidity Value and Peroxide Value the values than the control formulation, indicating greater oxidative resistant properties. The DPPH radical-scavenging assay demonstrated that the Coriander seed oil exhibited the highest antioxidant activity, with an IC₅₀ value of 0.20% v/v, followed by the garlic oil formulation, with an IC₅₀ value of 0.61% v/v. The Moringa oil and Vitamin E formulations showed moderate antioxidant activity, with IC₅₀ values of 0.74% v/v, whereas the Sesame oil control formulation exhibited the highest IC₅₀ value of 1.54% v/v, indicating the lowest antioxidant activity. Overall, Coriander seed oil and Garlic oil demonstrated promising potential as natural stabilizing agents for enhancing the oxidative stability of High Cannabidiol cannabis oil formulations.

Autonomous Mobile Robot for Environmental Quality Monitoring in Hospital

2026-08-21T08:52:21+07:00

Most hospitals are currently designed as enclosed buildings. Therefore, it is necessary to regularly monitor environmental quality to prevent pollution and health risks. This research presents the development of an autonomous mobile robot for monitoring indoor environmental quality in hospitals, to reduce the cost of installing numerous environmental quality monitoring devices to cover the entire area and to reduce human labor. The robot is equipped with environmental quality sensor and a touchscreen display and utilizes the open-source software ROS 2 for autonomous mapping, navigation, and obstacle avoidance. The experimental results showed that the environmental quality sensor worked well with the touchscreen display, and the measured parameters were within the manufacturer's specified range. Field testing in the hospital, the robot's capability to autonomously navigate to measurement points, return to its origin and display the measurement results accurately. The maximum average positional error was 0.16 m on the x-axis and 0.18 m on the y-axis. The acquired data can support hospital decisions for improving indoor environmental quality.

ปกวารสาร (cover) - JIT volume 22, issue 2, 2026

2026-08-28T12:19:39+07:00

กองบรรณาธิการ (Editorial Board) / วัตถุประสงค์ (Objectives) / บทบรรณาธิการ (Editorial Note) / สารบัญ (Table of Contents)

2026-08-28T12:27:41+07:00

The journal of Industrial Technology, 22(2), 2026

2026-08-28T12:33:11+07:00