The research status and development trend of additive manufacturing technology

Lian, Chen; He, Yong; Yang, Yingxin; Niu, Shiwei; Ren, Haitao

doi:10.1007/s00170-016-9335-4

Cited by 207 publications

(85 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3D printing, also known as additive manufacturing (AM), has been used in automotives, aerospace, mechanical systems, medicine, biological systems, food supply chains, and so on [1,2]. The key advantage of 3D printing is the capability to economically build complex shapes using a wide variety of materials.…”

Section: Introductionmentioning

confidence: 99%

Degradation Classification of 3D Printing Thermoplastics Using Fourier Transform Infrared Spectroscopy and Artificial Neural Networks

Zhang

2018

Applied Sciences

View full text Add to dashboard Cite

Fused deposition modeling (FDM) is the most popular technology among 3D printing technologies because of inexpensive and flexible extrusion systems with thermoplastic materials. However, thermal degradation phenomena of the 3D-printed thermoplastics is an inevitable problem for long-term reliability. In the current study, thermal degradation of 3D-printed thermoplastics of ABS and PLA was studied. A classification methodology using deep learning strategy was developed so that thermal degradation of the thermoplastics could be classified using FTIR and Artificial Neural Networks (ANNs). Under given data and predefined rules for ANNs, ANN models with nine hidden layers showed the best results in terms of accuracy. To extend this methodology, other thermoplastics, several new datasets for ANNs, and control parameters of ANNs could be further investigated.

show abstract

Section: Introductionmentioning

confidence: 99%

Degradation Classification of 3D Printing Thermoplastics Using Fourier Transform Infrared Spectroscopy and Artificial Neural Networks

Zhang

2018

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…In recent years, with the application of information technology in agricultural field, we also get a lot of correlated with soil fertility data.The experimental data is mainly from the national "863" plan-"research and application of corn precise operating system" [20] project demonstration base-NongAn country of JiLin Province for many years conducted aprecision fertilization after soil fertility data applied research.This paper select the representative soil nutrient data to integrated analysis, such as, Alkaline hydrolysis nitrogen, Available potassium and Available phosphorus. The above clustering results showed that:after continuous precision fertilization, three comprehensive similarity of entire plots of soil nutrient data that are Alkaline hydrolysis nitrogen、Available phosphorus and Available potassium increased year by year,soil fertility tends to bebalanced.…”

Section: Experiments and Results Analysis 41 Experimental Datasourcesmentioning

confidence: 99%

Analysis and Research of K-means Algorithm in Soil Fertility Based on Hadoop Platform

Chen

Yang

Guo

et al. 2015

Computer and Computing Technologies in Agriculture VIII

View full text Add to dashboard Cite

Abstract:In order to study the K -means algorithm for evaluation of soil fertility, solve the large amount of calculation and high time complexity of the algorithm，this paper proposes the K-means algorithm based on Hadoop platform.First, K-means algorithm is used to cluster for Nongan town soil nutrient data for nine consecutive years;clustering results show that : the accuracy rate increased year by year, and consistent with the actual situation.Then for the K-means clustering algorithm in processing large amounts of data has the disadvantages of high time complexity, This paper uses the K-means algorithm Based on Hadoop platform to realize the clustering analysis of soil fertility of large amounts of data;the results show that: compared with the traditional serial K-means algorithms, improves the operation speed. The above analysis shows that, K-means algorithm is an effective soil fertility evaluation method;Based on Hadoop platform of parallel K-means algorithm has great realistic meaning to analysis of large amount of data of soil fertility factors.

show abstract

“…3D printing brought technologies to the new level due to their versatility; they are also widely used in construction [2][3][4][5][6][7][8][9][10]. Compared to traditional ones, 3D technologies enable complete automation of the process, reduce the amount of waste, improve sustainability of construction and architectural expressiveness of structures, as well as provide solidity of structures due to continuous layer-by-layer application.…”

Section: Introductionmentioning

confidence: 99%

Mortars for 3D printing

et al. 2018

View full text Add to dashboard Cite

Abstract. The paper is aimed at developing scientifically proven compositions of mortars for 3D printing modified by a peat-based admixture with improved operational characteristics. The paper outlines the results of experimental research on hardened cement paste and concrete mixture with the use of modifying admixture MT-600 (thermally modified peat). It is found that strength of hardened cement paste increases at early age when using finely dispersed admixtures, which is the key factor for formation of construction and technical specifications of concrete for 3D printing technologies. The composition of new formations of hardened cement paste modified by MT-600 admixture were obtained, which enabled to suggest the possibility of their physico-chemical interaction while hardening.

show abstract

The research status and development trend of additive manufacturing technology

Cited by 207 publications

References 42 publications

Degradation Classification of 3D Printing Thermoplastics Using Fourier Transform Infrared Spectroscopy and Artificial Neural Networks

Degradation Classification of 3D Printing Thermoplastics Using Fourier Transform Infrared Spectroscopy and Artificial Neural Networks

Analysis and Research of K-means Algorithm in Soil Fertility Based on Hadoop Platform

Mortars for 3D printing

Contact Info

Product

Resources

About