- Manufacturing Process and Optimization
- Additive Manufacturing Materials and Processes
- Additive Manufacturing and 3D Printing Technologies
- Design Education and Practice
- High Temperature Alloys and Creep
- Product Development and Customization
- Shape Memory Alloy Transformations
- Multi-Criteria Decision Making
- Fault Detection and Control Systems
- Quality Function Deployment in Product Design
- Nuclear Materials and Properties
- Fuzzy Logic and Control Systems
- Engineering Diagnostics and Reliability
- Risk and Safety Analysis
- Intermetallics and Advanced Alloy Properties
- Nuclear reactor physics and engineering
- Quality and Management Systems
- Cultural Heritage Materials Analysis
- Assembly Line Balancing Optimization
- Transition Metal Oxide Nanomaterials
- Advanced machining processes and optimization
- Industrial Vision Systems and Defect Detection
- Augmented Reality Applications
- Conservation Techniques and Studies
- Sensor Technology and Measurement Systems
University of Pitesti
2015-2024
Universitatea Națională de Știință și Tehnologie Politehnica București
2023
Université de technologie de belfort-montbéliard
2006-2007
In the era of Industry 4.0, 3D printing, or additive manufacturing (AM), has revolutionized product design and across various sectors. This review explores evolution printing technology its impact on industrial innovation, highlighting advancements in aeronautics, automotive industry, biomedicine. Various AM processes, such as binder jetting, direct energy deposition, powder bed fusion, materials like metals, polymers, ceramics, composites, are discussed. Innovations high-speed sintering,...
The Inconel 718 alloy is a nickel-based superalloy that can be strengthened through precipitation hardening. Due to its exceptional mechanical properties, high corrosion resistance, and good workability, it particularly suitable for applications where components operate in corrosive environments at temperatures up 600 °C. Under these conditions, overheating frequently occurs, leading structural transformations changes properties. This experimental study examined the effect of repeated on...
The paper presents a method based on the neural networks to study of working conditions, for workstations from manufacture industry. were chosen because they excel in gathering difficult non-linear relationships between inputs and outputs system. network was simulated with Matlab. In this paper, we considered as relevant 6 input parameters: temperature, humidity, noise, luminosity, load frequency. designed presented has neurons 3 output layer. Some experimental results obtained through...
The precipitation-hardenable nickel-based superalloy Rene 41 exhibits remarkable mechanical characteristics and high corrosion resistance at temperatures, properties that allow it to be used in high-end applications. This research paper presents findings on the influence of thermal shocks its microstructure, hardness, diffusivity temperatures between 700 1000 °C. Solar energy was for cyclic shock tests. samples were characterized using microhardness measurements, optical microscopic...
The fresco of the Corbii de Piatră Cave Church, dating from end 13th century and beginning 14th century, is applied to sandstone wall. degradation on large surfaces, with many areas detachment, has been determined by infiltration meteoric water through wall which it applied, as well temperature variations, repeated wetting/drying processes. However, there are small portions that show good adhesion present research, aimed at providing scientific data restorers historians, involves advanced...
Today, for the enterprises, competition is more and intense competitor try to satisfy their customers. In field of automotive industry, demands product increase company need demand. As increases, should produce than usual. same time comfort health workers be consider. Some factors such as workstation design take into consideration in order productivity at protect from accidents problem. Therefore, workstations redesign by applying ergonomics principles. This paper presents combined...
Risk analysis increased in importance within environmental, health and safety regulation last few years. Process Failure Mode Effects Analysis (PFMEA) is one of the most used techniques to evaluate a process for strengths, weaknesses, potential problem areas or failure modes, prevent problems before they occur. The traditional PFMEA determines risk priorities modes using priority numbers (RPNs) by multiplying scores factors like occurrence (O), severity (S) detection (D) each mode. method...
Failure Mode and Effects Analysis (FMEA) is one of the basic most used techniques quality management that for continuous improvements in product or process designs. While applying this technique, determining Risk Priority Numbers (RPN), which indicate levels risks associated with potential problems, prime importance success application. A traditional RPN obtained as three risk factors: occurrence, severity detection. Values these factors are generally attained from past experience way...
Abstract In the last years, more and products are made through fused deposition modelling (FDM). Although it has disadvantage that is a slow process, very well suited for parts with complex shapes, which difficult to obtain by classical machining. A huge advantage of this process internal structure piece can be personalized according operation requirements. FDM builds up layer layer. 3D printed objects will often have anisotropic mechanical properties. This means part weaker in direction Z...
Failure mode and effects analysis (FMEA) is one of the most popular reliability tools for identifying, assessing eliminating potential failure modes in a wide range industries. In general, FMEA are evaluated ranked through risk priority number (RPN), which obtained by multiplication crisp values factors, such as occurrence (O), severity (S), detection (D) each mode. However, RPN method has been criticized to have several deficiencies. this paper, linguistic variables, expressed Gaussian,...
This paper presents research on the degradation processes of fresco painting in cave church Corbii de Piatră Hermitage under influence meteoric infiltration water and environmental factors. The medieval dates from end 13th century beginning 14th century, being painted a sandstone wall. through this wall, temperature variations, environment repeated wetting/drying determined fresco, resulting its detachment large surfaces. established correlations between that take place, structural...
In this paper is presented a feed forward neural networks application in ergonomics. The network used to quantify from the ergonomics point of view, working place. Based on combination six input measurable parameters, place characterized with one following three categories: "good", "medium" or "poor". parameters that are taken into account by our are: temperature, humidity, noise, luminosity, weight and frequency. Java crates network, trains it using set training patterns then tests real...
Rene 41, super alloy nickel base with aging hardening, presents an exceptional strength at high temperatures, find used temperatures above 871°C. After aging, the microstructure of is made up solid solution and precipitates mechanical properties show a significant variation temperature. The researches presented in this paper aims to determine influence thermal shocks 1000 ° C on hardness. heat were applied surface, aid solar energy, 3 6 cycles 30s. Samples characterized, surface section, by...
Nowadays, FDM technology permits obtaining functional prototypes or even end parts. The process parameters, such as layer thickness, building orientation, fill density, type of support, etc., have great influence on the quality, functionality and behavior obtained parts during their lifetime. In this paper, we present a study concerning possibilities certain values for clearance in revolute joints non-assembly mechanisms manufactured by 3D Printing. To ensure functioning assembly, one must...
This paper presents the combined application of Artificial Neural Networks and RULA method in process redesign ergonomic workstations.Artificial excel gathering difficult non-linear relationships between inputs outputs a system. We used, this work, feed forward neural network order to ranking workstation. The is simulated with simple simulator: SSNN. design experiment presented was realized at University Pitesti, Faculty Mechanics Technology, Technology Management Department, using CATIA V5 software.
Failure mode and effect analysis (FMEA) is one of the well-known techniques quality management that used for continuous improvement in product or process design. It widely manufacturing industries different stages life cycle now increasingly finding use service industry. Even through this approach simple but there are some limitations obtaining a good estimate failure ratings. Thus, new risk assessment system based on fuzzy set theory rule base proposed study to solve these problems have...
The Inconel 718 superalloy, a precipitation-hardenable material, is of particular interest for applications involving components operating under extreme conditions due to its excellent mechanical properties, high corrosion resistance at temperatures up 700 °C, and good workability. At temperatures, thermal transfer processes are crucial temperature distribution across the component’s section, structural transformations, variations in alloy’s properties. history accidental overheating events...
This paper presents a study about the factors that influence working performances of workers in automotive industry. These regard mainly transportations conditions, taking into account fact large number live places are far away enterprise. The quantitative data obtained from this will be generalized by using neural network, software simulated. network is able to estimate performance even for combinations input had been not recorded study. experimental divided two classes. first class...
In this article are presents the design and implementation of a solution for individual protection medical staff against contamination with viruses existing in environment, especially SARS-CoV-2 virus. The presented is based on use specific HEPA filters process air purification. At same time, proposed combines several elements: visor, mask, purifier one compact reliable product, which respect all standards offers higher degree comfort freedom movement to staff. who it. device designed such...
Failure Mode and Effects Analysis is a methodology to evaluate system, design, process, machine or service for possible ways in which failures (problems, errors, risks concerns) can occur it has been used wide range of industries. Traditional method uses Risk Priority Number the risk level component process. This obtained by finding multiplication three factors, are severity failure (S), probability/occurrence (O), probability not detecting (D). There significant efforts have made FMEA...
The paper presents a method to use feed forward neural network in order rank working place from the manufacture industry. Neural networks excel gathering difficult non-linear relationships between inputs and outputs of system. is simulated with simple simulator: SSNN. In this paper, we considered as relevant for work ranking, 6 input parameters: temperature, humidity, noise, luminosity, load frequency. designed study presented has neurons, 13 neurons hidden layer 1 neuron output layer. We...
This research is aimed at utilizing failure mode and effect analysis (FMEA) which a reliability method applicable to rotary injection pump design. In traditional FMEA, Risk Priority Number (RPN) ranking system used evaluate, the risk level of failures rank prioritize actions. RPN obtained by multiplying scores three factors like Severity (S), Occurrence (O) Detection (D) each mode. can not emphasise nature problem, multi-attributable has group experts' opinions. Furthermore, attributes are...
This paper aims to assess the dimensional deviation of Fused Deposition Modeling (FDM) processed ABS and ULTRAT parts using a new geometrical model which can evaluate three types deviation: along z-axis, external internal dimensions, through diameters. The methodology involves step-by-step procedure wherein after establishing experimental plan manufacturing specimens, measurements taken are analyzed via Grey Relational Analysis (GRA) find out optimal combination parameters leading minimum in...