Additive manufacturing is a promising process with diverse applications, but ensuring the quality and reliability of manufactured products key challenge. The digital twin has emerged as technology solution to address this challenge, allowing real-time monitoring control process. This paper proposes system framework for additive that integrates machine learning models, employing Unity, OctoPrint, Raspberry Pi monitoring. Particularly, utilizes models defect detection, achieving an Average...

This study focuses on the development of a large-dimensional 3D printer and its challenges in general. The major Fused Deposition Modeling (FDM) printers focus printing small-scale parts due to their large-scale objects using thermoplastic polymer filaments. A novel multi-extrusion FDM is developed at workshop printed several emphasize prospects developing products. has print bed with dimension 900 x 1100 770 mm respect length-width height (L-W-H), respectively. There are many successfully...

This research focuses on developing a Convolutional Neural Network (CNN)-based machine learning algorithm for detecting anomalies in Fused Deposition Modelling (FDM) 3D printers. To develop the CNN algorithm, training data was obtained from experiments. Therefore, process parameters such as; material flow, printing speed, and vibration of print bed were adjusted to create infill pattern defects as over-extrusion layer shift (misalignment). A high-resolution camera used take images during...

Structural topology optimization, a critical aspect of engineering design in aerospace, mechanical, and civil engineering, seeks to discover the ideal physical structure for optimizing mechanical performance, particularly, 3D structures. In recent times, Generative Adversarial Networks (GANs) autoencoders have gained popularity as an alternative traditional iterative optimization methods. However, these models often pose challenges terms training, exhibit limited generalizability, prioritize...

This study proposes a novel method for the evaluation of expansion forces that occur during heating IC (investment casting) waxes with help rheometer. Thermal wax patterns is main reason causes ceramic shell failure dewaxing process. The technique based on measurement normal develop in measuring system rotational rheometer solidification samples. These are created as result shrinkage thermally expanded To assess efficiency proposed method, three types commercially available and one...

Uncertainty is a major barrier in knowledge discovery from complex problem domains.Knowledge such domains requires qualitative rather than quantitative analysis.Therefore, the measures can be used to represent uncertainty with integration of various models.The Bayesian Network (BN) widely applied technique for characterization and analysis real world domains.Thus, application BN observed broad range as image processing, decision making, system reliability estimation PPDM (Privacy Preserving...

This paper offers a comprehensive overview of recent advancements in digital twin technology applied to additive manufacturing (AM), focusing on research trends, methodologies, and the integration machine learning. By identifying emerging developments addressing challenges, it serves as roadmap for future research. Specifically, examines various AM types, evolving methodologies within frameworks, highlighting role learning enhancing processes. Ultimately, aims underscore significance...

This research focuses on vision based gear profile measurement system in precision engineering. It mainly discusses the camera integrated to apparatus. The can record video as well is able save image frames JPEG format during measurement. Vision very useful increase performance of help analyze result later whenever it's necessary investigate. records and saves real-time also possible open file offline mode. In this paper, a inspection has been proposed for surface error various types gears.

Abstract The application of 3D printing in medicine is the major area to concern nearest future. Namely, it convenient additively manufacture Ankle-Foot Orthosis (AFO) by fused-deposition modeling printer. AFO device, used medicine, help patients rehabilitate from foot drop disease. shape may vary depending on leg and specifications patient. In this paper, three models were designed analyze both numerically experimentally, those are fracture propagation, stress distribution, deformation....

This paper discusses the modeling and simulation results of a new multi-material for cost-effective Selective Laser Sintering (SLS)-based 3D printer. As this technology utilizes several materials, me-chanical property analysis multi-materials is crucial manufacturing an object with desired physical characteristics. Firstly, development database SLS printing materials ac-complished based on mechanical properties optimization technique proposed. Secondly, enhancement by stiffeners considered...

This research article aims to compare the performance of three distinct types controllers, namely proportional-integral-derivative (PID), Fuzzy PID (F-PID), and controller with prefilter (PF-PID), for “Quanser” QDrone. In quadrotor applications, control design implementation are significant significance. There have been several methods developed issues, including LQR, backstepping nonlinear control, sliding mode control. practice, PD cascaded feedback is most often utilized system, offering...

Piriformis syndrome (PS) is a neuromuscular disorder characterized by pain and numbness in the buttock area caused compression or irritation of sciatic nerve piriformis muscle. The can have significant impact on an individual's quality life. physical, emotional, social consequences condition lead to decline overall health well-being. Non-probability convenient sampling technique was used study design analytical cross-sectional study. conducted charted universities Peshawar. Office workers...

Additive manufacturing of PLA parts using wax-based filament as a support structure was investigated by implementing the 2-level 3-factors full factorial design experiments (DoE). The aim to identify significant FDM factors that affect surface roughness parent part in PLA/Wax interfacial region. In addition, important influencing bonding strength between and wax were identified same DoE. printing parameters chosen for analysis are temperature, nozzle speed, pattern type at area. findings...

The extremely lengthy computational times, coupled with the impracticality of Finite Element Method (FEM)-based simulations, created a strong demand to accelerate procedures topology optimization involved in product development. This paper proposes solution form deep Convolutional Neural Network (CNN) designed for 3D structural optimization, which predicts structurein relatively short amount time without employing any iterative strategy. methodology was empower users incorporate...

This paper highlights the findings of multi-material application in 3D printed specimens. The work presents experimental results multi-material, and multi-color-based specimens by a multi-extrusion printer developed at laboratory. It aimed to determine bonding properties between layers various materials indicated with different colors. samples were across multiple infill models tested tensile compression machine. created 10%, 25%, 100% having single dual colors material. Polylactic Acid...