📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

AFM-based nano-machining: developing and validating a novel modelling approach for effective process implementation in nanotechnology applications

Lead Research Organisation: CARDIFF UNIVERSITY
Department Name: Sch of Engineering

Abstract

Although photolithography or scanning beam lithography are techniques widely used for the fabrication of devices with nanoscale features, a drive still exists to explore alternative and complementary nanoscale manufacturing processes, particularly for supporting the development of proof-of-concept devices that integrate 3D nano-structures. This is due to the fact that conventional nanofabrication technologies rely on capital-intensive equipment in addition to being restricted in the fabrication of true 3D features and in the range of processable materials. Besides, there are also increased concerns over their environmental friendliness as they are energy and resource intensive and generate significant waste.

One candidate nano-manufacturing process that may help address these limitations, particularly during the development stages of nanotechnology-enabled devices, relies on mechanical machining with the tip of an Atomic Force Microscope (AFM) probe. In particular, material removal operations on the nanoscale can be achieved as a result of using the AFM probe tip as a "nano-cutting tool". However, it is currently not possible for AFM practitioners to determine the required input process parameters, in terms of load to be applied by the tip and the cutting direction to be followed, for achieving specific groove dimensions without completing experimental trial-and-error campaigns first. For this reason, this project aims to implement a novel modelling approach of AFM-based nano-machining such that, given a set of input parameters, it will be possible for a user to predict the expected geometry of a machined groove, and vice versa. To achieve this overall aim, the project will develop and validate a new coupled SPH-FE (i.e. Smooth Particle Hydrodynamics - Finite Elements) model of the AFM tip-based nano-machining process. In addition, to ensure that such process modelling is based on reliable data, the project proposes to adopt novel experimental characterisation techniques to extract the mechanical properties of a workpiece material, which are specifically relevant for nanoscale cutting. Finally, the project also aims to demonstrate the increased potential of this nano-manufacturing process, when applied with the proposed modelling approach, for the development and implementation of nanotechnology applications through two lab-based demonstrators.

Planned Impact

The impact of the proposed research should not be limited to the sole provision of new nanoscale-based material and machining models with associated technology demonstrators in two specific areas. Indeed, it is the aim of the team of investigators that this work can serve as a platform for impact that is wider than that of the immediate technical objectives of the project. In particular, to maximise the impact of the research proposed in this grant application, actions will be implemented along three exploitation paths, i.e. academia, industry and society. Academic impact will be achieved by disseminating the project results in selected high-quality scientific journals and international conferences. Industrial impact actions have been identified to reach out to potential industrial end-users of the project outcomes. These include participation at industrially-focussed events, the organisation of a technology demonstration day, the creation of a presence on LinkedIn and the distribution of the developed software code in the public domain for potential take-up by industrial software teams. Impact for society will be ensured through a number of engagement actions with the wider public, initially under the training and guidance of a professional consultancy company specialised in science communication.

Publications

10 25 50
 
Description One of the key achievements has been the development of an in-house code to implement a particle-based modelling technique, namely smooth particle hydrodynamics, to simulate the nanoscale scratching process. The results suggest that simulated data are in line with experimental results published in the literature, opening the way for further investigations of the process mechanics by the research community. This study also enabled the investigation of the impact of tooltip wear on both the scratching process and the resulting nanoscale grooves. Additionally, the novel code developed was used to examine how the tooltip influences groove dimensions, material removal, and the residual plastic strain in the scratched specimens. For practitioners, the study showed the importance of deploying an effective tip monitoring procedure
Exploitation Route It is anticipated that this work will contribute to the wider application of smooth particle hydrodynamics as a valid simulation technique for a range of manufacturing processes.
Sectors Manufacturing

including Industrial Biotechology

 
Title Application of Mesh-free and Finite Element Methods in Modelling Nano-Scale Material Removal from Copper Substrates: A Computational Approach - data 
Description This is the complete dataset for a study which aimed to investigate the application of mesh-free and finite element methods in modelling nano-scale material removal from copper substrates. The dataset comprises a number of related data sub-sets as follows: 1) Average values of simulated groove widths and vertical dimensions for different values of cutting tip radii (i.e., 20 nm, 50 nm and 100 nm), cutting depths (i.e., 20 nm, 50 nm, 100 nm and 150nm), and rake angles (i.e., -15°, -30° and -60°) 2) Cutting and normal forces simulated with the Finite Element and Smooth Particle Hydrodynamics methods along the groove length for a depth of cut of 100 nm with a rake angle of -60°. 3) Average values of simulated cutting and normal forces for different values of cutting tip radii (i.e., 20 nm, 50 nm and 100 nm), cutting depths (i.e., 20 nm, 50 nm, 100 nm and 150nm), and rake angles (i.e., -15°, -30° and -60°) 4) Comparison of experimental data (taken from Applied Mathematical Modelling, 2012, 36(11), 5589-5602) and simulated forces for 100 nm and 150 nm scratching depths with a tip exhibiting 100 nm radius and -60° rake angle. 5) Variation of the simulated force ratio as a function of the ratio of the scratching depth and tip radius for different rake angles (i.e., -15° and -60°) and variation of simulated normal and cutting forces with a tip exhibiting 100 nm radius and -15° rake angle.(a) 6) Simulated deformed thickness of nano-grooves with different cutting depths (i.e., 20 nm, 50 nm, 100 nm and 150nm), tip radii (i.e., 20 nm, 50 nm and 100 nm) and rake angles (i.e., -15°, -30° and -60°) 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact For practitioners, the study showed the importance of deploying an effective tip monitoring procedure during AFM-based nanoscale machining 
URL https://research-data.cardiff.ac.uk/articles/dataset/Application_of_Mesh-free_and_Finite_Element_Met...
 
Title Investigation of nanoscale scratching on copper with conical tools using particle-based simulation: data 
Description This is the complete dataset for a study which aimed to investigation nanoscale scratching on copper with conical tools using Smooth Particle Hydrodynamics simulation. The dataset comprises a number of related data sub-sets as follows: 1) Comparison of experimental data (taken from Applied Mathematical Modelling, 2012, 36(11), 5589-5602) and simulated forces for 100 nm, 150 nm and 200 nm scratching depths with a 60 degree negative rake angle tool. 2) Comparison of groove cross-sectional profiles between experimental data (taken from Tribology Letters, 2011, 42, 275-284) and simulated data for 150 nm scratching depth with a 60 degree negative rake angle tool. 3) Simulated cutting and normal forces for a 30 degree negative rake angle tool at scratching depths of 100 nm, 150 nm and 200 nm. 3) Simulated cutting and normal forces for a 10 degree negative rake angle tool at scratching depths of 100 nm, 150 nm and 200 nm. 4) Deformed layer thickness at different depths of nano-scratching with 10, 30 and 60 degree negative rake angle tools. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact A novel in-house Lagrangian SPH code was implemented to perform nano-scratching simulations 
URL https://research-data.cardiff.ac.uk/articles/dataset/Investigation_of_nanoscale_scratching_on_copper...