2005Unpublished venueRequires access

CAD-guided manufacturing of nanostructures using nanoparticles

Heping Chen, Ning Xi, Guangyong Li, Abdu Saeed

Open publisher page 6 citations

Abstract

The development of nanomanufacturing technologies will lead to potential breakthroughs in manufacturing of new industrial products. Nanomanufacturing by manipulating nanoparticles using an atomic force microscope is desirable to manufacture asymmetric nanodevices and nanostructures. The complexity of nanomanufacturing requires positioning, manipulating and assembling nanoparticles. Typical manual nanomanipulation is time-consuming and inefficient. Automated path planning is desirable for nanomanufacturing, but does not receive much attention. In this paper, a general framework is developed to manufacture nanostructures and nanodevices. An automated tool path planning algorithm is presented. Simulations are performed to test the generated paths. The generated paths are also implemented to manipulate nanoparticles to manufacture nanostructures automatically. The simulation and experimental results are consistent. The general framework can also be extended to manipulate other nanoobjects.

About this research paper

What this paper is about

The development of nanomanufacturing technologies will lead to potential breakthroughs in manufacturing of new industrial products. Nanomanufacturing by manipulating nanoparticles using an atomic force microscope is desirable to manufacture asymmetric nanodevices and nanostructures. The complexity of nanomanufacturing requires positioning, manipulating and assembling nanoparticles. Typical manual nanomanipulation is time-consuming and inefficient. Automated path planning is desirable for nanomanufacturing, but does not receive much attention. In this paper, a general framework is developed to manufacture nanostructures and nanodevices. An automated tool path planning algorithm is presented. Simulations are performed to test the generated paths. The generated paths are also implemented to manipulate nanoparticles to manufacture nanostructures automatically. The simulation and experimental results are consistent. The general framework can also be extended to manipulate other nanoobjects.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The development of nanomanufacturing technologies will lead to potential breakthroughs in manufacturing of new industrial products. Nanomanufacturing by manipulating nanoparticles using an atomic force microscope is desirable to manufacture asymmetric nanodevices and nanostructures. The complexity of nanomanufacturing requires positioning, manipulating and assembling nanoparticles. Typical manual nanomanipulation is time-consuming and inefficient. Automated path planning is desirable for nanomanufacturing, but does not receive much attention. In this paper, a general framework is developed to manufacture nanostructures and nanodevices. An automated tool path planning algorithm is presented. Simulations are performed to test the generated paths. The generated paths are also implemented to manipulate nanoparticles to manufacture nanostructures automatically. The simulation and experimental results are consistent. The general framework can also be extended to manipulate other nanoobjects.

Key concepts: Nanomanufacturing, Computer science, Nanotechnology, Nanostructure, Path (computing), CAD, Motion planning, Nanoparticle

Related papers

Back to paper searchBrowse research topicsOriginal source
CAD-guided manufacturing of nanostructures using nanoparticles — Research Paper | ScholarLens