Speed Of Conveyor Belt Research Articles

Impact of reattachment surface characteristics on the flow field generated by slot jet reattachment nozzle – A numerical study

Slot jet reattachment (SJR) nozzle is a novel nozzle design that overperforms the regular impingement nozzles or perforated plates for heat transfer and drying, heating or cooling applications of moist materials. The SJR nozzle is a viable design to dry fragile products such as food and paper. Mesh-type conveyor belts are commonly used in the food industry. There is a need for understanding how the SJR nozzle performs with mesh-type conveyor belts because prior studies have solely considered solid surfaces. Therefore, an extensive numerical study is performed to solve the flow field of the SJR nozzle with an exit angle of +45° on top of a mesh-type belt with and without products using COMSOL Multiphysics® without including heat transfer. Turbulent fluid flow is theoretically modeled using the k-ɛ turbulence model for the SJR nozzle. The numerical predictions are validated with experimental data for stationary surface. Six different cases are studied to capture the effects of the presence of products on the belt and the conveyor belt speed. Additionally, the presence of an SJR nozzle on the bottom of the belt with and without a lateral offset is studied. The mass flow rate escaping underneath the belt is compared to the total mass flow rate at the nozzle exit, shear stresses are compared at three different surface velocities, and maximum force magnitudes as product travels are reported. The results show that the flow can reattach to the product surface regardless of surface motion, but reattachment characteristics depend on product orientation with respect to the SJR nozzle. Although significant mass flow escapes through the belt, the presence of products mitigates this loss. In addition, doubling the belt speed increases the shear stresses applied by the surface and decreases the average mass flow loss. Also, an additional SJR nozzle on the bottom of the belt almost cancels this mass flow loss even when there is a lateral offset between the nozzles.

AN EXPERIMENT TO ANALYZE THE IMPACT OF STEAM ON THE PRODUCTIVITY OF THE STALAM RF 85 KW YARN DRYER

Radio Frequency is one of the most commonly used technologies in the processing industries like textile, rubber, paper and many other sectors for drying purposes. The RF STALAM 85kW is a machine used to dry the yarn obtained after the dyeing and hydro extraction process. This machine uses radio frequency to remove the moisture content from the dyed yarn. In this research paper, I would like to share the findings of an experiment conducted on the RF STALAM 85kW yarn dryer machine. In this experiment, I have three trials each with and without the steam at variable conveyor belt speeds. The trials have been conducted at conveyor belt speeds of 5m/hr,5.5m/hr and 6m/hr in the presence and absence of steam. The primary objective of the research is to improve the productivity of the STALAM RF machine. The secondary objective of the research is to find out the impact of steam on the yarn drying ability of the machine. The tertiary objective of the research is to find the optimum speed. At the end of the experiment, I calculated the per day production to conclude the optimum speed to run the STALAM RF 85kW yarn drier machine to obtain maximum production with and without steam. From the above research, I have concluded that the conveyor belt speed and steam increase the productivity of the machine.

Improving mechanical properties of manufactured sand concrete with high biotite content: Application of magnetic separation process and equipment optimization

• Degradation mechanism of biotite in manufactured sand on concrete performance was presented. • An empirical formula of compressive strength for different biotite content was presented. • FEM-DEM coupling program was developed to optimize biotite separation process. Harmful components such as biotite in fine aggregates formed by natural rock crushing need to be rigorously assessed and effectively separated to reduce their potential damage to concrete structures. In this study, magnetic separation was used to remove excess biotite from manufactured sand and to realize the upgrade of manufactured sand, and a series of laboratory tests were carried out to study the influences of biotite content on the compressive strength and splitting strength of concrete. Experimental results show that the magnetic separation method can effectively reduce the biotite content in concrete from 10 % to 2 %, thus improving the mechanical properties of concrete. Through microscopic characterization, we found that the surface layer of biotite had a strong bonding effect with the early hydration product. This bonding effect contributes to the early strength of concrete, leading to a small difference in the strength values of manufactured sand concrete with different biotite contents. With increasing curing age, the strength contribution caused by this bonding effect gradually decreases. In addition, FEM-DEM coupling simulation was used to optimize the operation parameters and magnetic system structure of the magnetic separator to further achieve efficient separation of biotite from manufactured sand. Numerical prediction indicates that the dry magnetic separator has an extrusion magnetic system structure, which makes the magnetic induction and magnetic induction gradient at the guide disk higher and provides a much greater magnetic force than other competitive forces for biotite particles. To efficiently recover low-grade manufactured sand (low biotite content) from manufactured sand, the feed rate t , conveyor belt speed V and magnet-to-steel disk thickness ratio μ should be kept at 0.8 kg/s, 0.85 m/s and 3, respectively. This study can provide potential solutions and broad application value for the problem of manufactured sand with high biotite content in practical engineering.

Developed an Automated Design Sorting System According to Outer Edges of Object.

The automated sorting systems are used in the industrial sectors to increase the rate of production. This research developed the sorting system by using a vision machine to detect the matching of capturing image with the storage base image. The system will be matching and sorting in real-time with 5 cm/s conveyor belt speed. The vision system is based on three stages to arrive at the sorting decision. The first stage is to covert the capturing image to a binary image, the second stage is applying edge detection of the product, and the third stage is matching this result with the base image. The system was successful to sort any product with complexity in shape and with high efficiency. The system sorting can be detected and sorted any product/machine element at any position or orientation. The system uses real-time analysis in order to provide the required results. The results arrived at the sorting gate at the end conveyer belt of the system if open that means the product matching. Three different products were selected in order to investigate the response and the accuracy of the results. It was found that the maximum of error to detect the product is not exceeding 2% for all cases.

Design of and Experiment with Secondary Cutting Equipment for Broccoli

To solve the problem of large-sized blocks in single-process broccoli cutting, this paper proposes the design of broccoli secondary cutting equipment, in which the screening device with differential round belts, spiral attitude-adjusting mechanism, double-baffle conveyor belt, block-centering chute and disc-type cutter are analyzed and designed. According to the simulation of the motion of the blocks on the differential belts, the speeds of the two belts were 300 mm/s and 600 mm/s, respectively. The kinematic analysis of the spiral attitude-adjusting mechanism was performed, and the speed of the spiral rod was calculated to be greater than 64.5 rpm. The speed of the double-baffle conveyor belt was greater than 10.61 rpm to not obstruct the blocks and achieve diversion. A force analysis of the inclined centering chute was performed to reduce the damage during block conveying, and the inclination angle of the inclined centering chute was calculated to be greater than 27.02°. The parameters of the blade and its driving motor were calculated. Effective secondary cutting equipment for broccoli was thus developed. After secondary cutting, the size difference of two small florets obtained was between 0–8 mm, the success rate of cutting was 94.8%, and the efficiency was 47 pieces/min, which verified the reasonableness and feasibility of the second cutting equipment scheme.

Conveyor Belt Speed Control Through CAN BUS in CoppeliaSim using Arduino Mega2560

Purpose: CAN Bus is a robust way to communicate inter-device Communication. Primarily it is used in the vehicle. But now, it is also used in various industrial automation fields. Among different branded robots, they use CAN-bus to control the robot movement. When the new researchers integrate the can bus into their project, they need to spend time running and handling the device through the CAN bus. This research work is basically for those trying to integrate the CAN bus into their project in a short period. Here, we briefly describe the CAN bus protocol first, then go through a practical experiment to better understand it. In our experiment, we feed the Analog value as a speed profile through the CAN bus to the CoppeliaSim virtual environment to see the speed variation of the simulated conveyor belt upon rotating the potentiometer. The complete project code and demo video are available on Github. The interested researcher can download and experiment on it. Design/Methodology/Approach: This research work demonstrates how to exchange data through CAN bus between a virtual and a natural environment. We created a virtual environment using the CoppeliasSim robot simulator. Inside the simulator, we add a conveyor belt. Using c#, we created a bridge application that translates the data between the simulator and the natural environment outside it. We used two Arduino Mega 2560 boards and two MCP2515 based TJA1050 popular CAN driver modules. The CoppeliaSim requests data to the remote master through the bridge application and CAN bus. The remote master reads the analog value and sends it back to the simulator through the local master. CoppeliaSim changes its conveyor belt speed by parsing the data and converting it to the speed value. Findings/Result: We can find some concepts and procedures to control the virtual elements from the external world through the CAN bus. We can convert any environmental analog parameter into digital form and display it locally or remotely inside the simulator. We can build the digital twins used to process monitoring in the industrial automation field following this experiment. Originality/Value: Most CAN bus-related documents lack a practical approach or an accumulation of workable summaries. We demonstrate the CAN bus differently in this research work. This paper is an entirely practical-oriented demonstration. This is the unique approach to controlling the virtual element from the real world through the CAN bus. The new researcher can get helpful references to integrate the CAN bus into their project. Paper Type: Experimental-based Research.

A novel method for vacuum belt drying process optimization of licorice

A novel prediction method was developed to optimize the operating parameters of the vacuum belt drying (VBD) process of licorice extract. A numerical simulation model containing the boiling and evaporation models was firstly established to predict the product moisture of the process. To improve the accuracy of the numerical simulation, a transition model connecting the boiling and evaporation processes was introduced. This numerical model was validated by both lab-scale and industrial production experiments, with the MSE value of 2.176 × 10−3 and 6.58 × 10−5, respectively. The predicted moisture content can be used to evaluate product properties and help to avoid over drying and energy waste. Further, the predicted moisture content can be used to adjust process parameter conditions. Based on the numerical simulation, a decision-making approach was developed to predict optimal operating conditions to dry products with desired final moisture content. Three critical process parameters were determined based on their impact on production efficiency. As a result, the conveyor belt speed was found to play the most crucial role in the VBD process. The model can be used to provide precise operating conditions for VBD to replace traditional empirical adjustment method.

Evaluation of electrostatic powder coating method to prolong the shelf life of cheese slices.

Electrostatic coating is being developed as an attractive alternative to overcome the problems encountered during conventional coating which includes non-uniform coating, dust generation, high energy and time consuming, equipment cleaning, and operating expenses. In this method, powder particles are charged by passing through an ion-rich region, which repel each other to produce an evenly distributed coating. This results in a uniform distribution of powder on target surface. In this study, the electrostatic coating of black pepper powder was applied by varying the applied voltage (0-20 kV), at a conveyor belt speed of 10 m/s and compared with manually coated cheese slices. The values of transfer efficiency (52.7%-87.0%), dust reduction (76.2%-85.8%), and adhesion (20.8%-85.3%) were higher for electrostatic coatings. The weight losses were lower (0.19%) at 15 kV as compared to 20 kV (0.67%). The total plate count of cheese slice coated at 20 kV was significantly higher (p<0.05), whereas at 15 kV it was lower than all other treatments. The shelf life of coated cheese slices at 15 kV lasted up to 1 month due to better coating compared to other treatments. From the results, it can be concluded that electrostatic coating of cheese slice with black pepper is best at 15 kV along with higher transfer efficiency and dust reduction. PRACTICAL APPLICATION: Electrostatic powder coating of cheese resulted in higher transfer efficiency and reduction in dust production. later one has reduce the coating material requirement, thereby, reducing the processing cost. Moreover, dust reduction will reduce the burden of cleaning cost of environment and enhance worker health.

Feasibility of In-Line Raman Spectroscopy for Quality Assessment in Food Industry: How Fast Can We Go?

Raman spectroscopy is a viable tool within process analytical technologies due to recent technological advances. In this article, we evaluate the feasibility of Raman spectroscopy for in-line applications in the food industry by estimating the concentration of the fatty acids EPA + DHA in ground salmon samples (n = 63) and residual bone concentration in samples of mechanically recovered ground chicken (n = 66). The samples were measured under industry like conditions: They moved on a conveyor belt through a dark cabinet where they were scanned with a wide area illumination standoff Raman probe. Such a setup should be able to handle relevant industrial conveyor belt speeds, and it was studied how different speeds (i.e., exposure times) influenced the signal-to-noise ratio (SNR) of the Raman spectra as well as the corresponding model performance. For all samples we applied speeds that resulted in 1 s, 2 s, 4 s, and 10 s exposure times. Samples were scanned in both heterogenous and homogenous state. The slowest speed (10 s exposure) yielded prediction errors (RMSECV) of 0.41%EPA + DHA and 0.59% ash for the salmon and chicken data sets, respectively. The more in-line relevant exposure time of 1 s resulted in increased RMSECV values, 0.84% EPA + DHA and 0.84% ash, respectively. The increase in prediction error correlated closely with the decrease in SNR. Further improvements of model performance were possible through different noise reduction strategies. Model performance for homogenous and heterogenous samples was similar, suggesting that the presented Raman scanning approach has the potential to work well also on intact heterogenous foods. The estimation errors obtained at these high speeds are likely acceptable for industrial use, but successful strategies to increase SNR will be key for widespread in-line use in the food industry.

Design and Parameter Optimization of Fruit–Soil Separation Device of Lily Harvester

The mechanized harvesting of lily fruit in Southern China is affected by a high damage rate of lily fruit and low rate of soil breakage. The existing fruit–soil separation device is not suitable for heavy soil in Southern China. This study aimed to design a flexible fruit–soil separation device that can effectively reduce the damage rate of lily and improve the crushing rate of the soil. Thus, it would meet the requirements of southern lily fruit harvesting. In this study, the soil breaking rate and lily damage rate in the fruit–soil separation were taken as the assessment indexes, and the linear speed of the front conveyor belt, the inclination angle and the rotating speed of the fruit–soil separation device were recognized as the test factors. By performing the Box–Behnken test, three-factor and three-level experimental research on the fruit–soil separation device of the lily harvester was conducted. On this basis, a multiple regression model of the assessment indexes to the respective was built, the effect of various factors on the operation quality was analyzed and optimal operation parameters were determined. When the optimal parameter was adopted in the test (e.g., the linear speed of the front conveyor belt, the inclination angle and the speed of the fruit–soil separation device reaching 1.2 m·s−1, 36° and 98 r·min−1, respectively), the soil crushing rate was 92.8% and the lily damage rate reached 8.9%, and the fruit–soil separation effect satisfied the requirements of lily fruit harvest. The results could be referenced for other subsoil fruit harvesters and fruit–soil separation devices under heavy clay soil in Southern China.

An Experiment To Analyze The Impact of Steam On The Productivity of The RF STALAM 85 kW Yarn Dryer.

Radio Frequency has been one of the most commonly used technologies in the processing industries like textile, rubber, paper and many other industries for drying purposes. The RF STALAM 85kW is a machine used to dry the yarn obtained after the dyeing and hydro extraction process. This machine uses radio frequency to remove the moisture content from the dyed yarn. In this research paper, I would like to share the findings of an experiment conducted on the RF STALAM 85kW yarn dryer machine. In this experiment, I have three trials each with and without the steam at variable conveyor belt speeds. At the end of the experiment, I calculated the per day production to conclude the optimum speed to run the RF STALAM 85kW yarn drier machine to obtain maximum production with and without steam.

Noncontact Reflow Oven Thermal Profile Prediction Based on Artificial Neural Network

This research proposes a thermal profile prediction model in the soldering reflow process (SRP). The thermal profile is the temperature of the solder paste during SRP and is affected by multiple factors [i.e., temperature setting for the oven chamber (thermal recipe) and conveyor belt speed]. The quality of the printed circuit board (PCB) is determined mainly by the thermal profile, because the components are attached to the board by the solder joint, which is generated during SRP. The thermal profile shape decides the performance of the solder joint, such as its strength. Solder paste manufacturers usually provide a target profile based on the physical properties of the solder paste composition. Comparing the experimental profile and target profile is the most simple, direct, and effective way to judge the PCB quality. In general, the thermal profile is collected from the thermocouples attached to the solder paste. To overcome drawbacks such as low testing efficiency, a noncontact machine learning-based thermal profile prediction model is developed in this research to monitor thermal performance. The noncontact prediction is of great significance to the PCB production line and meets the requirements of Industry 4.0 with a high degree of automation. Specifically, the prediction model is developed based on an artificial neural network (ANN). Several environmental factors are utilized as input data to forecast the board temperature. Then, a pooling model is devised to address the thermal profile. The proposed model is mainly for the passive components, such as 1005. The prediction model shows the promising ability to predict the thermal profile by showing a 97.2% accuracy with the testing data.

Recognition and sorting of coal and gangue based on image process and multilayer perceptron

ABSTRACT The recognition and sorting of coal and gangue are an important part of the process of reducing costs and improving production efficiency. In this paper, under the influence of long running pollution and similar background grayscale, a new method was proposed based on image process and multilayer perceptron. The robust image extraction method was used for the reverse selection edge extraction method (RS-EEM) to eliminate background interference. Moreover, a deep learning model called multilayer perceptron (MLP) was proposed to recognize coal and gangue with simple structure, which is easy to transplant with high precision and great timeliness. In order to evaluate the correctness and efficiency of the algorithm, a sorting robot of coal and gangue was built based on MLP and image processing. The experiment results showed that the images of coal and gangue can be precisely recognized based on RS-EEM under the influence of long running pollution and similar background grayscale, and the recognition accuracy can reach to 96.15% as well as grasping accuracy to 85% at 0.4 m/s conveyor belt speed.

Lab Scale Implementation of Industry 4.0 for an Automatic Yogurt Filling Production System—Experimentation, Modeling and Process Optimization

Currently, Industry 4.0 is word of mouth, and its implementation has gained increased attention from industrial and academic researchers, entrepreneurs, and service providers all over the world. With Industry 4.0, the integration of facilities and products enables real-time data exchange, and the overall production system becomes self-reliant and intelligent to predict and maintain its operational performance. In this research, the lab-scale implementation of Industry 4.0 is implemented for an automatic yogurt filling production system. A mathematical model for the process optimization of Industry 4.0 was also developed. A real-life problem was solved optimally using linear programming techniques with the objective of maximizing the speed of the conveyor belt. Moreover, the sequencing of processing orders using single-dimensional rules was performed. The effects of changes in the feed rate of the yogurt valve and length of the conveyor belt on the feed rate of the flavor valve, speed of conveyor belt, waiting time, processing times, and the different performance measures were investigated at the end.

MANUFACTURE OF TOMATOES HALVING PROTOTYPE FOR NATURAL DRYING PROCESS

Tomatoes are an important component of the human diet but possess a very short post-harvest shelf-life which makes them highly perishable. This causes a problem in the transportation and handling of tomato fruits. The open natural sun drying of tomatoes in Upper Egypt is the best solution to this problem. Most processes of halving cutting tomatoes are manual, this process is a cumbersome, time-consuming, and labor-intensive job. So, this research aims to develop, fabricated, and evaluated the performance of halving cutting tomatoes prototype made with local materials, suitable for three cultivars (Nesma, Masa, and 2020) costumed for sun drying. The major components of the machine include the frame, the conveyor belt, cutting sow blade (smooth edge, inclined and straight teeth), electric motor, and power transmission system. The factors for evaluating performance of prototype included estimating the appropriate feeding rate, percentage of damage rate, cutting efficiency and productivity and calculating initial operating costs compared to manual halving costs. The results of the prototype performance evaluation showed that increasing the linear speed of the conveyor belt leads to decrease in productivity while decrease in cutting efficiency of the fruits. The best average productivity was achieved of highest cutting efficiency and least damage percentage at lowest linear speed of conveyor for three cultivars. The results also showed lower operating costs of the prototype at lowest linear speed of conveyor belt compared to manual cutting. Recommended that developing of this prototype to clean, dry and grade the fruits before halving.

甘蓝基质块苗移栽机设计与试验

Aiming at the problems of high specificity and low efficiency of vegetable transplanting machine, a substrate block seedling transplanter was designed. Through theoretical calculation and force analysis, the structural parameters of two key components of automatic seedling separation device and planting device are determined. Taking cabbage seedlings with 40 × 40 × 40mm substrate block size as the experimental object, the effects of forward speed, planting frequency, front conveyor belt speed on lodging rate, missing rate and qualified rate were studied by single factor test and three factor three-level orthogonal test. Based on the analysis of the significance and interaction of the experimental data, the best combination of the forward speed of 1.1km/h, the planting frequency of 55 plants / min and the front conveyor belt speed of 0.5km/h was obtained. The verification test of the best combination showed that the average qualified rate of planting was 93.31%, which met the relevant industry standards.

ЧАСТОТНО-РЕГУЛЬОВАНИЙ ЕЛЕКТРОПРИВОД КОНВЕЄРА ЗЕРНОМЕТАЛЬНОЇ МАШИНИ З ПОКРАЩЕНИМИ ЯКІСНИМИ ПОКАЗНИКАМИ

Purpose. The article explored options for control systems for the electric drive of grain-metal machine conveyor to stabilize the speed of conveyor belt when the load changes. Methodology. A control system is proposed that implements the principles of subordinate regulation and is supplemented by compensatory feedbacks in the control channels of active and reactive energy. The calculation of the regulators and the modeling of the system operation have been completed. The analysis of the obtained characteristics showed that the synthesized system is characterized by good quality indicators. However, the characteristics were obtained for the case of known parameters of an asynchronous machine and adjusting the regulators for these parameters. Studies have shown that for the proposed structure, the most significant is the incorrect determination of the inductive reactances of the stator and rotor of asynchronous machine. So, when the inductance de- viates by 30%, significant fluctuations occur in the subordinate regulation system. Complex solution to the problem of providing low sensitivity to parametric and coordinate disturbances and an increase in dynamic and static accuracy can be obtained in a class of systems, that are stable with an unlimited increase in the gain, as a solution to the problem of ana- lytical design of optimal regulators based on the modified symmetry principle. The regulators of the reactive energy transmission channel with series-parallel correction, which are modified PID structures, have been synthesized. Regulators with sequential correction with PID and PIDD2 structures are synthesized for the active energy transmission channel. Results. Analysis of the obtained results of characteristics showed, that the optimal control system is characterized by better quality indicators in comparison with the classical system of subordinate regulation and practically insensitive to changes in the parameters of the electric drive. Originality. The results of mathematical modeling confirmed the possi- bility of using control systems synthesized as a solution to the problem of analytical design of optimal controllers based on the modified symmetry principle, to improve the quality indicators of the AC electric drive of the grain thrower con- veyor. Practical value. The use of the proposed optimal control system will provide the possibility of stabilizing the speed of the conveyor belt of the grain thrower, which will reduce the percentage of injured and damaged grain. References 16. Figures 14.

Electrical Capacitance Tomography to Measure Moisture Distribution of Polymer Foam in a Microwave Drying Process

Moisture distribution information is a critical element in drying processes. The drying of products by employing high-power microwave (MW) technology is widely used in the industry. Although microwaves allow volumetric and selective heating resulting in a significant reduction of processing time and energy consumption, there is always a risk of non-uniform moisture distribution in the final product. This paper investigates the capability of a designed electrical capacitance tomography (ECT) sensor to estimate the moisture distribution of polymer foams in a microwave drying process. The moisture distribution is estimated based on the non-intrusive contactless measurements of the electrical capacitances between the electrodes mounted on a frame around the target polymer foam. The obtained moisture information can be employed as feedback to a controller to adjust the power level of each microwave source in the microwave system to reduce or eliminate the non-homogeneity of the moisture distribution inside the polymer foam. In a series of experiments, we first examine the capability of the ECT sensor in estimating the moisture distribution in a stationary foam. We extend the tests to estimating the moisture distribution in a case where the foam is moving on a conveyor belt. Several study variables are taken, including the sample size, the sample location, the moisture percentage, the conveyor belt speed, and the microwave power. These experiments show that the sensor has a satisfactory accuracy in estimating the moisture distribution of the foam, and the ECT measurements can be further used in a closed-loop control system.

Dynamic behavior and separation prediction of magnetic ore bulks in dry medium-intensity magnetic separator

Dry medium-intensity magnetic separator (DMIMS) plays a vital role in enhancing the separation of low-grade raw magnetite ore. A good understanding of the dynamic separation process of DMIMS would further boost its economic competitiveness in minerals processing and engineering. Herein, this study analyzed the basic structure and simulated the dynamic separation process of DMIMS in detail using CT4050 magnetic separator as an example. Forces (e.g., magnetic force, magnetic particle-particle attraction and gravity) acting on magnetic ore bulks in multi-physical fields have been systematically investigated to deepen the understanding for the dynamic behavior of magnetic ore bulks based on elaborate experiments and dynamic simulation using the finite element method (FEM). Results show that the realistic movement trajectory of isolated magnetic ore bulks can be well predicated using dynamics simulation. Force analysis demonstrates that the size significantly affects the forces acting on magnetic ore bulks. The magnetic permeability of bulks not only determines their movement trajectory just as the speed of conveyor belt does, but also is vital in improving the separation efficiency. Whereas, the shape, size and rotation angle of bulks demonstrate negligible influence on their movement trajectory and separation efficiency. This study could provide theoretical insights for optimizing the magnetic separation process and designing high-performance DMIMS.

Plasma pre-treatment of polypropylene surface for industrial purposes

ABSTRACT The paper describes an experimental investigation of the possibility of industrial modification of surface wettability and adhesion of polymers by the action of a plasma of a gliding discharge generated in air at atmospheric pressure in a simulated production process. The test material was polypropylene plates (PP). The modification was performed by a device with a multi-electrode (four pairs) system, which is not common. The quality of pre-processing and usability was evaluated primarily in terms of the industrial requirements, which means a change in wettability and adhesion expressed by the contact angle/surface free energy value in dependence to sample exposure time expressed by the conveyor belt speed. The surface free energy assessment of a treated polymeric surface by contact angle measurement was carried out by analyzing static sessile drops and evaluated by Owens–Wendt–Rabel–Kaelble (OWRK) model. The results determined a set of operating parameters at which the modification process meets the industrial requirements. By evaluating the change in surface free energy in relation to the storage time, the degree of hydrophobic recovery of the treated samples, i.e. the time stability of the plasma-treated surface, was also determined. It has been found that plasma-treated PP surface fully meets industrial demands and can be stored for at least 50 days.