The article presents the existing methods of implementation of rapid prototyping technologies in rapid production. It is performed using computer modeling programs with integrated modules of generative design based on different topology optimization methods. In the environment of ANSYS Mechanical (Workbench) the finite element method established the dependence of strength parameters on the density of the generated mesh of the reinforcing contour of the part. According to the results of the simulation, the graphical dependencies of the maximum general stresses and the margin of safety of the part depending on the materials of the 3D models under the action of equivalent stresses were obtained.

The article considers the possibility and priority of using the Internet of Things, especially its implementation in the surface water monitoring system. The feasibility of developing a complex system of interactive monitoring of surface water using IoT technologies has been substantiated, such a system will significantly improve water monitoring in real-time and ensure the gradual implementation of new sensor capabilities, such as collecting data on the deviation of parameters from the specified normative indicators of water quality in natural reservoirs. An interactive system for intelligent monitoring of water quality in natural reservoirs using Internet of Things technologies and tools has been developed, among others, the Node MCU 1.0 Wi-Fi microcontroller based on the ESP8266 microcontroller was used, as well as PH4502s analog sensor, the DHT-11 water and environmental temperature sensor, the DFRobot water turbidity and signal conversion board V2. The results were displayed on a 2.2- inch QVGA TFT LCD. The microcontroller unit (MCU) is connected to the sensors and further processing is performed on the server unit. The choice of a cloud server was justified, and the transfer of received data was transferred to the cloud using IoT-based ThingSpeak open-source software for water quality monitoring. The computer design environment Autodesk was used to increase the efficiency of design, in particular, the arrangement of elements, ensuring functionality, and ergonomics. The software and hardware of the device were designed with open-source software Fritzing and Arduino (IDE). Based on the obtained statistical data about the quality of water in natural reservoirs, a modern network of smart devices was implemented, such a network is a monitoring and notification system, which considers the linking of data to the time and place of positioning. Features of obtaining data on the results of water quality monitoring in natural reservoirs in real time for consumers were presented, with such monitoring, it is possible to predict and take the necessary measures to prevent possible negative impacts.

This study explores the process of design and optimization of exoskeleton for lower extremities using methods of generative design. Due to the unique characteristics and features of the human body, every exoskeleton needs to be adjusted to the working condition of each user, but the development of individual product designs by engineers is highly expensive and takes a lot of time. The study objective is the optimization of the base model of the exoskeleton to working conditions using generative design technology. Optimization is based on human movements and biomechanics, especially on joint torque, which allows to design of construction with acceptable safety factors. Results show highly optimized designs for different materials and a significant reduction in mass and volume relative to the base model. Usage of such technologies saves development time, allowing engineers to focus on more complex aspects of design.

This paper presents the results of a computer optimising a multibody system using Generative Design methods to select a lower-cost actuator that meets process requirements with its parameters. Optimisation was performed to reduce the mass of the motion apparatus components of the author’s CPM device, used for the rehabilitation of patients after knee arthroscopy and total or partial knee replacement. An analysis of the kinematics and dynamics of the multibody mechanism, based on a virtual model, was carried out to identify the requirements for selecting an actuator. The main components of the motion apparatus mechanism were subjected to a series of numerical analyses using selected CAD/CAE tools, with the assumed criterion of varying material and component shapes to ensure that the required strength and accuracy of the mechanism links were maintained, assuming the same functionality. The results of the numerical analyses will be the basis for the selection of the optimum solution, for which a new, lower-cost actuator will be selected.

The article presents the development of a spectroscopic water resource monitoring system utilizing modern optical sensors and microcontrollers for real-time automated water quality assessment. The primary objective is to create an intelligent system for water condition evaluation, enabling the detection of organic and inorganic contaminants through spectral analysis. The system is equipped with the AS7265x spectroscopic sensor, operating in the visible and near-infrared ranges, allowing for high-precision spectral analysis. Additionally, a DFRobot turbidity sensor and a waterproof DS18B20 temperature sensor are integrated to enhance measurement accuracy. Data management and processing are carried out using an ESP32 microcontroller, which ensures data collection, analysis, and transmission via Wi-Fi, as well as data storage on an SD card for further processing. The practical application of the developed system includes ecological monitoring of natural and anthropogenic water bodies, evaluating the efficiency of filtration systems, and promptly detecting changes in water composition. The integration of spectroscopy, sensor analysis, and artificial intelligence creates a powerful tool to enhance the efficiency and accessibility of water resource monitoring.