This paper focuses on calculating the central distances of polycentric joints designed to replicate the natural motion of the human knee. A key aspect is the shortening of the central distance during the swing phase, which reduces tripping risk and improves gait stability. Using mathematical modeling, the study analyzes the dynamic changes in instantaneous centers of rotation and their impact on knee bi (…)
The choice of suitable methods for establishing of plasticity and formability of new materials has great significance for high quality formed parts manufacturing. The paper is focused on analysis of the dual phase steel DP 450 properties. This steel is used to produce selected parts in automotive industry. The properties are analysed on the base of plasticity and formability evaluation. The paper mentio (…)
This study investigates the impact of process parameters on the geometry of single-layer overlay welds of AA5087 aluminum alloy, fabricated using Wire and Arc Additive Manufacturing (WAAM-MIG), a technique valued for its productivity and material efficiency. This method layers material as weld beads to build 3D structures. Key characteristics analyzed include bead width, bead height, penetration depth, (…)
Additive manufacturing is already a commonly used manufacturing method encountered in industry. With the increasing demands for precision manufacturing, the need for reverse engineering also needs to be addressed. The aim of this study is to compare the results of digitizing primitive geometric objects using a coordinate measuring machine (CMM) and industrial computed tomography (CT) in terms of reverse (…)
Robotic Additive Manufacturing (RAM) represents an innovative approach to 3D printing, utilizing multi-axis industrial robots to execute complex printing tasks. This study focuses on path planning and the investigation of key parameters affecting the print quality of thin-walled tubes printed using a planar method. The experiments analyzed the effects of cooling, robot movement speed, material feed rate (…)
This study investigates the impact of cutting edge radius on cutting forces during machining of AISI 316L with uncoated cemented carbide tools. Four cutting edge radii were tested, each with three tools. Milling was conducted with different parameters for roughing and finishing. Cutting forces were measured and analyzed into tangential and radial components. Statistical evaluation using linear regressio (…)
Artificial Intelligence (AI) and its applications in modern industry, particularly in additive manufacturing (AM), have garnered significant attention from both researchers and industry professionals. In recent years, the rise of generative AI (GenAI) models, marked by the launch of ChatGPT in 2022, has driven an unprecedented shift in industry practices and workforce dynamics. This paper investigates t (…)
This study investigates the enhancement of wear and corrosion resistance of 316 stainless steels through Co-Fe electrodeposited coatings at varying ratios (50:50, 75:25, 95:5). The 50:50 Co-Fe ratios produced a uniform, defect-free coating with a thickness of 35 µm and a body-centered cubic (BCC) microstructure. Electrochemical tests, including Tafel and Nyquist plots, revealed superior corrosion resist (…)
Resistance welding is widely used in manufacturing due to its efficiency in joining similar and dissimilar materials. This study investigates the resistance welding of low-density polyethylene (LDPE) and high-density polyethylene (HDPE) composites using stainless steel mesh as a heating element. The effects of welding parameters—current, pressure, and time—on lap shear strength and heat generation are a (…)
Laminated composite plates and shells are widely used in aerospace, marine, and automotive industries. Their structural response can be tuned by modifying the stacking sequence, but accurate modelling requires computationally expensive finite element (FE) analysis. This study develops machine learning-based predictive models as surrogates for FE analysis to predict the first natural frequency of laminat (…)
Additively manufactured/printed represent a high potential for their use in various branches of technical practice. However, their applicability requires knowledge of the maximum application limits, or the intensity of their damage due to external factors. This article investigates the testing of 3D printed materials produced via Selective Laser Melting (SLM) treated by an ultrasound excited pulsating w (…)
This study presents pioneering experiments utilizing an ultrasonic pulsating water jet (PWJ) for drilling into aluminum alloy 5.5 mm thick following a circular trajectory with a diameter of 6 mm. The innovative approach combines the high frequency of water pulses with frequency of 20 kHz impinging the surface of material at Bernoulli impact speed was 254 m/s to enhance drilling efficiency and observe dr (…)
This study presents a hybrid framework combining Genetic Programming (GP) and Grey Wolf Optimizer (GWO) to enhance the performance of rotary drying systems. The methodology employs Box Behnken Design (BBD) to investigate the effects of critical process parameters—drying temperature, time, and airflow rate—on moisture ratio (MR). GP is utilized to develop predictive models that capture nonlinear interact (…)
Fuel efficiency and occupant safety are among the most critical concerns in the automotive industry. Motivated by the significance of this field, this research aims to enhance the crashworthiness of vehicle crash absorbers. This study examines the crush response of a re-entrant auxetic square tube under quasi-static compressive loading. Re-entrant auxetic-filled tubes are compared with an empty square t (…)
The methodology for crash tests in vehicle development and homologation is based on dummies sitting in a standardized posture, defined by the H-point of the car body and design specifications. As a result, injury criteria are directly influenced by these precisely defined initial conditions. Out-of-Position scenarios are not included in passive safety tests but are usually analysed conventionally throug (…)
The measurement of the geometric structure of a surface is a key issue in determining the useful characteristics of the component under study. The main objective of the presented research was to compare methods of assessing the geometric structure of the surface of models made using additive technology of Selective Laser Sintering (SLS). In the research carried out, optical measuring instruments using t (…)
This study aims to optimize the design parameters of a fiberglass filler circular crash box to enhance Energy Absorption (EA) capabilities under frontal loading conditions. Utilizing Response Surface Methodology (RSM) and a Box-Behnken Design (BBD), the research comprises 15 experiments to assess the impact of three primary parameters: foam diameter, foam height, and aluminum tube thickness. The optimal (…)
Passive vibration isolation is a key factor in achieving precise results in milling processes and extending the service life of tools. An innovative approach involves using damping elements made from NiTi shape memory alloys. This approach is based on the alloys ability to convert large amounts of mechanical energy into thermal energy through the pseudo-elastic effect, with the pronounced transformation (…)
High-pressure die casts exhibit a certain amount of porosity, which can reduce their mechanical properties. One of the options for maintaining the porosity of casts at a low value is the correct gating system design. Presented contribution is based on the conclusions of the “Methodology assessment of the gating system numerical design of high-pressure die casting with regard to the material applicabilit (…)
Object detection as a fundamental computer vision task has applications across different industries. One particular application is the detection and recognition of drawings, which often relies on convolutional neural networks. Developing a robust model for such an application typically requires a large dataset containing images of the target object from various perspectives and conditions. However, in m (…)
Industrial engineering is a dynamically developing field, integrating practices from several engineering disciplines. In this article, we analysed the development of science and research in industrial engineering by examining publication trends in indexed databases. Based on published studies, we identified key competencies required by industrial engineers to effectively manage corporate resources. Alon (…)
Abrasive Water Jet (AWJ) machining has emerged as a promising technology for processing hard-to-machine materials like stainless steel. This paper investigates the application of low-pressure AWJ machining (50 MPa) for milling stainless steel with a controlled depth of cut. The aim is to optimize AWJ process factors to achieve desirable results in industrial applications. Experimental measurements were (…)
Presented article is aimed on the evaluation of geometric and qualitative characteristics of the surface created abrasive water jet cutting of EN AW 2024 aluminium alloy with traverse speed change in values from 100 to 600 mm.min-1. The resulting surfaces were evaluated according to the Swiss standard SN 214001 and ISO/TC 44 N 1770 which describes the parameters of the machined surface and evaluates the (…)
Nowadays, optimizing energy efficiency is a key factor for the sustainable development of industry, especially in the field of automated manufacturing systems. These systems are design to streamline production and reduce human intervention, but at the same time, they also pose a challenge in terms of energy consumption. This article deals with various aspects of energy efficiency in automated manufactur (…)
Science Journal