The digital twin (DT) is undergoing an increase in interest from both an academic and industrial perspective. Although many authors proposed and described various frameworks for DT implementation in the manufacturing industry context, there is an absence of real-life implementation studies reported in the available literature. The main aim of this paper is to demonstrate feasibility of the DT implementation under real conditions of a production plant that is specializing in manufacturing of the aluminum components for the automotive industry. The implementation framework of the DT for engine block manufacturing processes consists of three layers: physical layer, virtual layer and information-processing layer. A simulation model was created using the Tecnomatix Plant Simulation (TPS) software. In order to obtain real-time status data of the production line, programmable logic control (PLC) sensors were used for raw data acquisition. To increase production line productivity, the algorithm for bottlenecks detection was developed and implemented into the DT. Despite the fact that the implementation process is still under development and only partial results are presented in this paper, the DT seems to be a prospective real-time optimization tool for the industrial partner.

The integration of acoustic emission (AE) signals into adaptive control systems for CNC wood milling represents a promising advancement in intelligent manufacturing. This study investigated the feasibility of using AE signals for the real-time monitoring and control of CNC milling processes, focusing on medium-density fiberboard (MDF) as the workpiece material. AE signals were captured using dual-channel sensors during side milling on a five-axis CNC machine, and their characteristics were analyzed across varying spindle speeds and feed rates. The results showed that AE signals were sensitive to changes in machining parameters, with higher spindle speeds and feed rates producing increased signal amplitudes and distinct frequency peaks, indicating enhanced cutting efficiency. The statistical analysis confirmed a significant relationship between AE signal magnitude and cutting conditions. However, limitations related to material variability, sensor configuration, and the narrow range of process parameters restrict the broader applicability of the findings. Despite these constraints, the results support the use of AE signals for adaptive control in wood milling, offering potential benefits such as improved machining efficiency, extended tool life, and predictive maintenance capabilities. Future research should address signal variability, tool wear, and sensor integration to enhance the reliability of AE-based control systems in industrial applications.

In order to ensure acceptable level of risk associated with exposure to airborne dust they should have been mainly technical and organisation measures at workplaces with enhanced occurance of dust. Local exhaust ventilation (LEV) belongs to pr...

This article deals with the complex evaluation of a working environment. The aim of this paper is to find a mathematical model for a comprehensive risk assessment of a harvester operator. The developed model is based on the mutual evaluation of dependent and independent variables. The selected independent (explanatory) input variables of the model are the equivalent sound pressure level, peak sound pressure level, operative temperature, and mental stress. The selected dependent variable is the riskiness of the work, which we determined by means of heart rate variability evaluation. Based on the underlying measured data, we compiled a mathematical model that seems to be perspective. This model takes into account quantitative information on risk factors that can be determined by objectivization, as well as qualitative information on the health of the assessed person.

Aim of this paper was to investigate the effects of grit size and wood species on mass concentration and size distribution of wood dust produced by hand-held belt sander. Experimental study was designed as 2x2 full factorial experiments. Experimental parameters and their levels were abrasive grain size (P80, P120) and wood species (European beech (Fagus sylvatica L.), Norway spruce (Picea abies)).The mass concentration of emitted wood dust was measured using aerosol monitor (TSI Inc., DustTrak DRX 8533). Sampler head was sited in place representing breathing zone of operator of sander. The results was analysed employing the analysis of variance (ANOVA) with 5% of significance level. Real-time measurements demonstrated that spruce wood generated higher dust concentrations than beech wood due to difference in abrasion durability. Compared to sanding belt with P80 grit size, approximately 16%-32% higher dust concentration was generated when the sanding belt with P120 grit size was used.

Hazards identification is essential step in framework of occupational health & safety (OH&S) management system. The task of spruce wood sanding with hand-held power belt sander is considered as a significant resource of exposure to wood dust. Dust from spruce wood is hazard that can cause negative health effects such as asthma and chronic bronchitis. A dust collection box is a commonly used technical measure for reducing exposure to wood dust for this task in practice. The objective of this pilot study was to evaluate the effectiveness of commercially available dust collection box at reducing exposure to wood dust during the task of sanding spruce wood using hand-held power belt sander. Laboratory experiment involved sanding spruce planks (250 mm × 50 mm × 500 mm) in longitudinal direction using belt sander (Bosch, PBS 75 A) with 120 grit sanding belt. Spruce dust mass concentrations were sampled using an aerosol monitor (TSI Inc., DustTrak DRX 8533) in the breathing zone of operator. Inhalable and respirable dust concentrations were both significantly lower (P < 0.0001) when dust box was attached to belt sander compared with sander without a dust box. Results from this pilot study indicate that dust collection box is efficient technical measure for decreasing exposure to aerosol mass concentration during sanding spruce wood with hand-held belt sander.