scholarly journals Additive metal printing machine tool

2021 ◽  
Vol 11 (1) ◽  
pp. 39-45
Author(s):  
Lotár László Kiss ◽  
György Takács

The 3D printing, as a modern manufacturing method, is becoming more widespread and overrides the usual industry conventions. While it was mainly known in the production of plastic parts, nowadays metal-based versions are also becoming more widespread. Reputable machine tool manufacturers such as DMG Mori or GE compete with each other to create equipment for this technology for the industry, where there is a growing market for such machines. My article seeks to answer the question of where these tools have a place in the industry, whether they can be considered as machine tools, and decide that the procedures describing the construction of machine tools could be applied to them.

2016 ◽  
Vol 712 ◽  
pp. 246-250
Author(s):  
Rinat G. Ahmetshin ◽  
Vasilii V. Fedorov ◽  
Kirill S. Kostikov ◽  
Nikita V. Martyushev ◽  
V.A. Ovchinnikov ◽  
...  

The paper provides data on the structures and specifications of laser printers for 3D metal printing. The printers were engineered in Research and Educational Center "Modern manufacturing technologies" in Tomsk Polytechnic University, Tomsk, Russia. The essential difference of the given printers is their laser power. The experimental research has shown that the setups with a more powerful laser (500W) enable synthesizing the objects of higher quality in a shorter period of time. The paper also presents data on forming samples structure with the use of 3D printing.


2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Dajing Gao ◽  
Jack Zhou

This paper mainly reviews the designs of electrohydrodynamic (EHD) inkjet printing machine and related applications. The review introduces the features of EHD printing and its possible research directions. Significant progress has been identified in research and development of EHD high-resolution printing as a direct additive manufacturing method, and more effort will be driven to this direction soon. An introduction is given about current trend of additive manufacturing and advantages of EHD inkjet printing. Designs of EHD printing platform and applications of different technologies are discussed. Currently, EHD jet printing is in its infancy stage with several inherent problems to be overcome, such as low yielding rate and limitation of stand-off height. Some potential modifications are proposed to improve printing performance. EHD high-resolution printing has already been applied to precision components for electronics and biotechnology applications. This paper gives a review about the latest research regarding EHD used for high-resolution inkjet printing. A starting base is given to help researchers and students to get a quick overview on the recent development of EHD printing technology.


Author(s):  
Mark B. Moffett ◽  
Pierre Larochelle

The use of designed tools to assist with relating abstract ideas to reality is now a possibility with the use of the modern manufacturing method of 3D printing. The inner four planets’ natural orbital periods with respect to Earth were modeled in SolidWorks and then fabricated using 3D printing. A 3D printable mechanical time simulating solar system model used in science, technology, engineering, and mathematics (STEM) could assist with the user’s understanding of the history of science, planetary orbital mechanics, gearing ratios, 3D printing, and systematically constructing a project using instructions. This paper describes the design of a 3D printable time simulating solar system model and how its construction could be used to teach the history of mechanical engineering and the abstract idea of the solar system. The combination of these two ideas could inspire users to learn, pursue coursework and, eventually, a career in a STEM field.


Machines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 150
Author(s):  
Andrei Marius Mihalache ◽  
Gheorghe Nagîț ◽  
Laurențiu Slătineanu ◽  
Adelina Hrițuc ◽  
Angelos Markopoulos ◽  
...  

3D printing is a process that has become widely used in recent years, allowing the production of parts with relatively complicated shapes from metallic and non-metallic materials. In some cases, it is challenging to evaluate the ability of 3D printers to make fine details of parts. For such an assessment, the printing of samples showing intersections of surfaces with low angle values was considered. An experimental plan was designed and materialized to highlight the influence of different factors, such as the thickness of the deposited material layer, the printing speed, the cooling and filling conditions of the 3D-printed part, and the thickness of the sample. Samples using areas in the form of isosceles triangles with constant height or bases with the same length, respectively, were used. The mathematical processing of the experimental results allowed the determination of empirical mathematical models of the power-function type. It allowed the detection of both the direction of actions and the intensity of the influence exerted by the input factors. It is concluded that the strongest influence on the printer’s ability to produce fine detail, from the point of view addressed in the paper, is exerted by the vertex angle, whose reduction leads to a decrease in printing accuracy.


Author(s):  
T. Blesslin Sheeba ◽  
A. Albert Raj ◽  
D. Ravikumar ◽  
S. Sheeba Rani ◽  
P. Vijayakumar ◽  
...  

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Jianlei Zhang ◽  
Yukun Zeng ◽  
Binil Starly

AbstractData-driven approaches for machine tool wear diagnosis and prognosis are gaining attention in the past few years. The goal of our study is to advance the adaptability, flexibility, prediction performance, and prediction horizon for online monitoring and prediction. This paper proposes the use of a recent deep learning method, based on Gated Recurrent Neural Network architecture, including Long Short Term Memory (LSTM), which try to captures long-term dependencies than regular Recurrent Neural Network method for modeling sequential data, and also the mechanism to realize the online diagnosis and prognosis and remaining useful life (RUL) prediction with indirect measurement collected during the manufacturing process. Existing models are usually tool-specific and can hardly be generalized to other scenarios such as for different tools or operating environments. Different from current methods, the proposed model requires no prior knowledge about the system and thus can be generalized to different scenarios and machine tools. With inherent memory units, the proposed model can also capture long-term dependencies while learning from sequential data such as those collected by condition monitoring sensors, which means it can be accommodated to machine tools with varying life and increase the prediction performance. To prove the validity of the proposed approach, we conducted multiple experiments on a milling machine cutting tool and applied the model for online diagnosis and RUL prediction. Without loss of generality, we incorporate a system transition function and system observation function into the neural net and trained it with signal data from a minimally intrusive vibration sensor. The experiment results showed that our LSTM-based model achieved the best overall accuracy among other methods, with a minimal Mean Square Error (MSE) for tool wear prediction and RUL prediction respectively.


2010 ◽  
Vol 455 ◽  
pp. 621-624
Author(s):  
X. Li ◽  
Y.Y. Yu

Because of the practical requirement of real-time collection and analysis of CNC machine tool processing status information, we discuss the necessity and feasibility of applying ubiquitous sensor network(USN) in CNC machine tools by analyzing the characteristics of ubiquitous sensor network and the development trend of CNC machine tools, and application of machine tool thermal error compensation based on USN is presented.


2016 ◽  
Vol 699 ◽  
pp. 97-103 ◽  
Author(s):  
Laurenţiu Slătineanu ◽  
Oana Dodun ◽  
Margareta Coteaţă ◽  
Gheorghe Nagîţ ◽  
Irina Beşliu

Rotational molding is a manufacturing method which supposes the rotation of the mold, during the solidification of the liquid phase material, so that finally a part having a hollow could be obtained. The method could be applied in manufacturing of metallic and nonmetallic parts. Usually, the equipment for rotational molding ensures slow speed rotating of the mold around two axes placed perpendicularly each other and this fact led to relatively complex equipment for achieving rotational molding. The capacity of the liquid material to entirely cover the internal walls of the mold depends essentially on the liquid material viscosity, on the rotation speed and on the movements applied to the mold. Simplified equipment including a single rotation movement could be materialized. In order to test such a solution, a preliminary experiment was designed and materialized, by using a device adapted on universal lathe. Thus, the objective of the research presented in the paper was to study if it is possible to achieve plastic parts made by rotational molding using a single rotation movement. A polyurethane resin obtained from two liquid components was used in order to obtain the liquid material that could be introduced in the mold. The research results proved the possibility to use simplified equipment for achieving a rotational molding process, at least in certain cases and with some technological limits.


2016 ◽  
Vol 684 ◽  
pp. 421-428 ◽  
Author(s):  
D.S. Vasilega ◽  
M.S. Ostapenko

They defined conditions of use, calculated a composite index of quality for different tools, chose a machine tool according to its quality evaluation, calculated efficiency of processing by tools with different parameters for a certain production operation.


Sign in / Sign up

Export Citation Format

Share Document