Multistage Tool Path Optimisation of Single-Point Incremental Forming Process

Journal article

Yan, Zhou, Hassanin, H., El-Sayed, M., Eldessouky, Hossam Mohamed, Djuansjah, Joy Rizki Pangestu, A. Alsaleh, N., Essa, K. and Ahmadein, M. 2021. Multistage Tool Path Optimisation of Single-Point Incremental Forming Process. Materials (Basel, Switzerland). 14 (22), p. e6794. https://doi.org/10.3390/ma14226794
AuthorsYan, Zhou, Hassanin, H., El-Sayed, M., Eldessouky, Hossam Mohamed, Djuansjah, Joy Rizki Pangestu, A. Alsaleh, N., Essa, K. and Ahmadein, M.
AbstractSingle-point incremental forming (SPIF) is a flexible technology that can form a wide range of sheet metal products without the need for using punch and die sets. As a relatively cheap and die-less process, this technology is preferable for small and medium customised production. However, the SPIF technology has drawbacks, such as the geometrical inaccuracy and the thickness uniformity of the shaped part. This research aims to optimise the formed part geometric accuracy and reduce the processing time of a two-stage forming strategy of SPIF. Finite element analysis (FEA) was initially used and validated using experimental literature data. Furthermore, the design of experiments (DoE) statistical approach was used to optimise the proposed two-stage SPIF technique. The mass scaling technique was applied during the finite element analysis to minimise the computational time. The results showed that the step size during forming stage two significantly affected the geometrical accuracy of the part, whereas the forming depth during stage one was insignificant to the part quality. It was also revealed that the geometrical improvement had taken place along the base and the wall regions. However, the areas near the clamp system showed minor improvements. The optimised two-stage strategy successfully decreased both the geometrical inaccuracy and processing time. After optimisation, the average values of the geometrical deviation and forming time were reduced by 25% and 55.56%, respectively.
KeywordsSPIF; sheet metal; forming; incremental; FEA; tool path; optimisation
Year2021
JournalMaterials (Basel, Switzerland)
Journal citation14 (22), p. e6794
PublisherMDPI
ISSN1996-1944
Digital Object Identifier (DOI)https://doi.org/10.3390/ma14226794
Official URLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620775/
FunderScientific Research at Imam Mohammad Ibn Saud Islamic University
Publication dates
Online11 Nov 2021
Publication process dates
Deposited08 Nov 2021
Accepted04 Nov 2021
Accepted author manuscript
File Access Level
Open
Output statusPublished
References

1. Trzepieciński, T. Recent developments and trends in sheet metal forming. Metals 2020, 10, 779 .
2. Hassanin, H.; Alkendi, Y.; Elsayed, M.; Essa, K.; Zweiri, Y. Controlling the Properties of Additively Manufactured Cellular Structures Using Machine Learning Approaches. Adv. Eng. Mater. 2020, 22, 1901338.
3. El-Sayed, M.A.; Essa, K.; Ghazy, M.; Hassanin, H. Design optimization of additively manufactured titanium lattice structures for biomedical implants. Int. J. Adv. Manuf. Technol. 2020, 110, 2257–2268.
4. Brambilla, C.R.M.; Okafor-Muo, O.L.; Hassanin, H.; El Shaer, A. 3DP Printing of Oral Solid Formulations: A Systematic Review. Pharmaceutics 2021, 13, 358.
5. Hassanin, H.; Zweiri, Y.; Finet, L.; Essa, K.; Qiu, C.; Attallah, M. Laser Powder Bed Fusion of Ti-6Al-2Sn-4Zr-6Mo Alloy and Properties Prediction Using Deep Learning Approaches. Materials 2021, 14, 2056.
6. Mohammed, A.; Elshaer, A.; Sareh, P.; Elsayed, M.; Hassanin, H. Additive Manufacturing Technologies for Drug Delivery Applications. Int. J. Pharm. 2020, 580, 119245.
7. Delic, M.; Eyers, D.R. The effect of additive manufacturing adoption on supply chain flexibility and performance: An empirical analysis from the automotive industry. Int. J. Prod. Econ. 2020, 228, 107689.
8. Hassanin, H.; Abena, A.; Elsayed, M.A.; Essa, K. 4D Printing of NiTi Auxetic Structure with Improved Ballistic Performance. Micromachines 2020, 11, 745.
9. Paoletti, I. Mass Customization with Additive Manufacturing: New Perspectives for Multi Performative Building Components in Architecture. Procedia Eng. 2017, 180, 1150–1159.
10. Trzepieciński, T.; Oleksik, V.; Pepelnjak, T.; Najm, S.M.; Paniti, I.; Maji, K. Emerging trends in single point incremental sheet forming of lightweight metals. Metals 2021, 11, 1188.
11. Essa, K.; Hartley, P. An assessment of various process strategies for improving precision in single point incremental forming. Int. J. Mater. Form. 2011, 4, 401–412.
12. Essa, K.; Hartley, P. Investigation on the effects of process parameters on the through-thickness shear strain in single point incremental forming using dual level FE modelling and statistical analysis. Comput. Methods Mater. Sci. 2010, 10 , 238–278.
13. Li, W.; Attallah, M.M.; Essa, K. Experimental and numerical investigations on the process quality and microstructure during induction heating assisted increment forming of Ti-6Al-4V sheet. J. Mater. Process. Technol. 2022, 299, 117323.
14. Edward, L. Apparatus and Process for Incremental Dieless Forming. United States Patent Appl. 3342051, 1967. Available online: https://www.freepatentsonline.com/3342051.html (15/05/2021)
15. Mohanraj, R.; Elangovan, S. Incremental sheet metal forming of Ti–6Al–4V alloy for aerospace application. Trans. Can. Soc. Mech. Eng. 2020, 44, 56–64.
16. Pandre, S.; Morchhale, A.; Kotkunde, N.; Kurra, S. Processing of DP590 steel using single point incremental forming for au-tomotive applications. Mater. Manuf. Process. 2021, 36, 1658–1666 .
17. Qiu, H.Y.; Yu, H.P.; Qiao, Y.; Shen, Y. Numerical simulation and experimental research on flexible incremental forming method of marine plate. Suxing Gongcheng Xuebao J. Plast. Eng. 2018, 25, 16–22.
18. Essa, K. Finite Element Prediction of Deformation Mechanics in Incremental Forming Processes; University of Birmingham: Bir-mingham, UK, 2011.
19. Duflou, J.; Tunçkol, Y.; Szekeres, A.; Vanherck, P. Experimental study on force measurements for single point incremental forming. J. Mater. Process. Technol. 2007, 189, 65–72.
20. Bambach, M.; Araghi, B.T.; Hirt, G. Strategies to improve the geometric accuracy in asymmetric single point incremental forming. Prod. Eng. 2009, 3, 145–156.
21. Dejardin, S.; Thibaud, S.; Gelin, J.; Michel, G. Experimental investigations and numerical analysis for improving knowledge of incremental sheet forming process for sheet metal parts. J. Mater. Process. Technol. 2010, 210, 363–369.
22. Azaouzi, M.; Lebaal, N. Tool path optimization for single point incremental sheet forming using response surface method. Simul. Model. Pract. Theory 2012, 24, 49–58.
23. Arfa, H.; Bahloul, R.; Salah, H.B.H. Finite element modelling and experimental investigation of single point incremental forming process of aluminum sheets: Influence of process parameters on punch force monitoring and on mechanical and geometrical quality of parts. Int. J. Mater. Form. 2013, 6, 483–510.
24. Reese, Z.C.; Ruszkiewicz, B.J.; Nikhare, C.P.; Roth, J.T. Effect of Toolpath on the Springback of 2024-T3 Aluminum during Single Point Incremental Forming. In Proceedings of the ASME 2015 International Manufacturing Science and Engineering Conference, Charlotte, NC, USA, 8–12 June 2015 ; Volume 1.
25. Maaß, F.; Hahn, M.; Tekkaya, A.E. Interaction of Process Parameters, Forming Mechanisms, and Residual Stresses in Single Point Incremental Forming. Metals 2020, 10, 656.
26. Malhotra, R.; Cao, J.; Beltran, M.; Xu, D.; Magargee, J.; Kiridena, V.; Xia, C. Accumulative-DSIF strategy for enhancing process capabilities in incremental forming. CIRP Ann. 2012, 61, 251–254.
27. Maidagan, E.; Zettler, J.; Bambach, M.; Rodriguez, P.P.; Hirt, G. A New Incremental Sheet Forming Process Based on a Flexible Supporting Die System. Key Eng. Mater. 2007, 344, 607–614.
28. Jung, K.-S.; Yu, J.-H.; Chung, W.; Lee, C.-W. Tool Path Design of the Counter Single Point Incremental Forming Process to Decrease Shape Error. Materials 2020, 13, 4719.
29. Gonzalez, M.M.; Lutes, N.A.; Fischer, J.D.; Woodside, M.R.; Bristow, D.A.; Landers, R.G. Analysis of geometric accuracy and thickness reduction in multistage incremental sheet forming using digital image correlation. Procedia Manuf. 2019, 34, 950–960.
30. Suresh, K.; Nasih, H.R.; Jasti, N.V.K.; Dwivedy, M. Experimental Studies in Multi Stage Incremental Forming of Steel Sheets. Mater. Today Proc . 2017, 4, 4116–4122.
31. Shi, X.; Hussain, G.; Zha, G.; Wu, M.; Kong, F. Study on formability of vertical parts formed by multi-stage incremental forming. Int. J. Adv. Manuf. Technol. 2014, 75, 1049–1053.
32. Cocchetti, G.; Pagani, M.; Perego, U. Selective mass scaling for distorted solid‐shell elements in explicit dynamics: optimal scaling factor and stable time step estimate. Int. J. Numer. Methods Eng. 2015, 101, 700–731.
33. Wang, J.; Chen, T.; Sleight, D.; Tessler, A. Simulating Nonlinear Deformations of Solar Sail Membranes Using Explicit Time Integration. In Proceedings of the 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Confer-ence, Palm Springs, CA, USA, 19–22 April 2004.
34. Moheen, M.; Abdel-Wahab, A.; Hassanin, H.; Essa, K. Reconfigurable Multipoint Forming Using Waffle-Type Elastic Cushion and Variable Loading Profile. Materials 2020, 13, 4506.
35. Tolipov, A.; Elghawail, A.; Abosaf, M.; Pham, D.; Hassanin, H.; Essa, K. Multipoint forming using mesh-type elastic cushion: Modelling and experimentation. Int. J. Adv. Manuf. Technol. 2019, 103, 2079–2090.
36. Ferreira, S.L.C.; Bruns, R.E.; Ferreira, H.S.; Matos, G.D.; David, J.M.; Brandao, G.C.; da Silva, E.G.P.; Portugal, L.A.; dos Reis, P.S.; Souza, A.S.; et al. Box-Behnken design: An alternative for the optimization of analytical methods. Anal. Chim. Acta 2007, 597, 179–186.
37. Hassanin, H.; Modica, F.; El‐Sayed, M.A.; Liu, J.; Essa, K. Manufacturing of Ti–6Al–4V micro‐implantable parts using hybrid selective laser melting and micro‐electrical discharge machining. Adv. Eng. Mater. 2016, 18, 1544–1549.
38. Elsayed, M.; Ghazy, M.; Youssef, Y.; Essa, K. Optimization of SLM process parameters for Ti6Al4V medical implants. Rapid Prototyp. J. 2019, 25, 433–447, doi:10.1108/RPJ-05-2018-0112.
39. Isidore, B.B.L.; Hussain, G.; Shamchi, S.P.; Khan, W.A. Prediction and control of pillow defect in single point incremental forming using numerical simulations. J. Mech. Sci. Technol. 2016, 30, 2151–2161.
40. Micari, F.; Ambrogio, G.; Filice, L. Shape and Dimensional Accuracy in Single Point Incremental Forming: State of the Art and Future Trends. J. Mater. Process. Technol. 2007, 191, 390–395.

Additional information

Publications router: Date 2021-11-04 of type 'accepted_date' included in notification.
Publications router: Date 2021-11-11 of type 'publication_date' with format 'electronic' included in notification
Publications router: Date 2021-11-04 of type 'accepted' included in notification
Publications router: Date 2021-11-11 of type 'pub-electronic' included in notification

Publications router: License for this article: https://creativecommons.org/licenses/by/4.0/ included in notification

Licensehttps://creativecommons.org/licenses/by/4.0/
Permalink -

https://repository.canterbury.ac.uk/item/8z800/multistage-tool-path-optimisation-of-single-point-incremental-forming-process

Download files

Accepted author manuscript
Tool path optimisation in SPIF v final no ref.pdf
File access level: Open

  • 129
    total views
  • 57
    total downloads
  • 5
    views this month
  • 0
    downloads this month

Export as

Related outputs

Study on agricultural waste utilization in sustainable particleboard production
Okeke, F., Ahmed, A. and Hassanin, H. 2024. Study on agricultural waste utilization in sustainable particleboard production. E3S Web of Conferences. 563. https://doi.org/10.1051/e3sconf/202456302007
Adaptive SOC Estimation for Lithium-Ion Batteries Using Cluster-Based Deep Learning Models Across Diverse Temperatures
Al-Alawi, Mohammed Khalifa, Cugley, James, Hassanin, Hany and Jaddoa, Ali 2024. Adaptive SOC Estimation for Lithium-Ion Batteries Using Cluster-Based Deep Learning Models Across Diverse Temperatures. 2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). https://doi.org/10.1109/eeeic/icpseurope61470.2024.10751169
A review of corncob-based building materials as a sustainable solution for the building and construction industry
Okeke, F., Ahmed, A., Imam, A. and Hassanin, H. 2024. A review of corncob-based building materials as a sustainable solution for the building and construction industry. Hybrid Advances. 6 (100269), pp. 1-16. https://doi.org/10.1016/j.hybadv.2024.100269
A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection
Al-Alawi, M., Jaddoa, A., Cugley, J. and Hassanin, H. 2024. A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection. Journal of Energy Storage. 97 (B), p. 112866. https://doi.org/10.1016/j.est.2024.112866
Assessment of compressive strength performance of corn cob ash blended concrete: a review
Okeke, F., Ahmed, A., Imam, A. and Hassanin, H. 2024. Assessment of compressive strength performance of corn cob ash blended concrete: a review. https://doi.org/10.18552/2024/SCMT/606
Tailoring 3D star-shaped auxetic structures for enhanced mechanical performance
Hassanin, H., Wang, Y., A. Alsaleh, N., Djuansjah, J., El-Sayed, K. and Essa, K. 2024. Tailoring 3D star-shaped auxetic structures for enhanced mechanical performance. Aerospace. 11 (6), p. 428. https://doi.org/10.3390/aerospace11060428
Virtual prototyping of vision-based tactile sensors design for robotic-assisted precision machining
Zaid, I., Sajwani, H., Halwani, M., Hassanin, H., Ayyad, A., AbuAssi, A., Almaskari, F., Abdul Samad, Y, Abusafieh, A. and Zweiri, Y. 2024. Virtual prototyping of vision-based tactile sensors design for robotic-assisted precision machining. Sensors and Actuators A: Physical. 374 (115469). https://doi.org/10.1016/j.sna.2024.115469
Designing lightweight 3D-printable bioinspired structures for enhanced compression and energy absorption properties
Harish, A., A. Alsaleh, N., Ahmadein, M., Elfar, A., Djuansjah, J., Hassanin, H., El-Sayed, M. and Essa, K. 2024. Designing lightweight 3D-printable bioinspired structures for enhanced compression and energy absorption properties. Polymers. 16 (6), p. 729. https://doi.org/10.3390/polym16060729
A novel vision-based multi-functional sensor for normality and position measurements in precise robotic manufacturing
Halwani, M., Ayyad, A., AbuAssi, L., Abdulrahman, Y., Almaskari, F., Hassanin, H., Abusafieh, A. and Zweiri, Y. 2024. A novel vision-based multi-functional sensor for normality and position measurements in precise robotic manufacturing. Precision Engineering. 88, pp. 367-381. https://doi.org/10.1016/j.precisioneng.2024.02.015
Optimisation of a novel hot air contactless single incremental point forming of polymers
Almadani, M., Guner, A., Hassanin, H. and Essa, K. 2024. Optimisation of a novel hot air contactless single incremental point forming of polymers. Journal of Manufacturing Processes. 117, pp. 302-314. https://doi.org/10.1016/j.jmapro.2024.02.042
Advancing safety and efficiency in critical infrastructure with a novel SOC estimation for battery storage systems: A focus on second life batteries
Al-Alawi, M., Cugley, J., Jaddoa, A. and Hassanin, H. 2024. Advancing safety and efficiency in critical infrastructure with a novel SOC estimation for battery storage systems: A focus on second life batteries.
Review on engineering of bone scaffolds using conventional and additive manufacturing technologies
Mohammed, A., Jiménez, Amaia, Bidare, Prveen, Elshaer, Amr, Memic, Adnan, Hassanin, Hany and Essa, Khamis 2024. Review on engineering of bone scaffolds using conventional and additive manufacturing technologies. 3D Printing and Additive Manufacturing. 11 (4), pp. 1418-1440. https://doi.org/10.1089/3dp.2022.0360
Contactless single point incremental forming: Experimental and numerical simulation
Almadani, M., Guner, A., Hassanin, H., De Lisi, Michele. and Essa, K. 2023. Contactless single point incremental forming: Experimental and numerical simulation. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-023-12401-1
Hot-air contactless single-point incremental forming
Almadani, M., Guner, A., Hassanin, H. and Essa, K. 2023. Hot-air contactless single-point incremental forming. Journal of Manufacturing and Materials Processing. 7 (5), p. 179. https://doi.org/10.3390/jmmp7050179
Optimising surface roughness and density in titanium fabrication via laser powder bed fusion
Hassanin, H., El-Sayed, M., Ahmadein, M., A. Alsaleh, N., Ataya, S., Ahmed, M. and Essa, K. 2023. Optimising surface roughness and density in titanium fabrication via laser powder bed fusion. Micromachines. 14 (8), p. 1642. https://doi.org/10.3390/mi14081642
Hybrid finite element–smoothed particle hydrodynamics modelling for optimizing cutting parameters in CFRP composites
Abena, A., Ataya, S., Hassanin, H., El-Sayed, M., Ahmadein, M., A. Alsaleh, N., Ahmed, M. and Essa, K. 2023. Hybrid finite element–smoothed particle hydrodynamics modelling for optimizing cutting parameters in CFRP composites. Polymers. 15 (13), p. 2789. https://doi.org/10.3390/polym15132789
Embracing sustainable farming: Unleashing the circular economy potential of second-life EV batteries in agricultural applications
Al-Alawi, M., Cugley, J. and Hassanin, H. 2023. Embracing sustainable farming: Unleashing the circular economy potential of second-life EV batteries in agricultural applications.
Entrained defects and mechanical properties of aluminium castings
El-Sayed, M., Essa, K. and Hassanin, H. 2023. Entrained defects and mechanical properties of aluminium castings.
Preparation of polylactic acid/calcium peroxide compo-site filaments for fused deposition modelling
Mohammed, A., Kovacev , N., Elshaer, A., Melaibari, A., Iqbal, J., Hassanin, H., Essa, K. and Memić, A. 2023. Preparation of polylactic acid/calcium peroxide compo-site filaments for fused deposition modelling. Polymers. 15 (9), p. 2229. https://doi.org/10.3390/polym15092229
Non-destructive disassembly of interference fit under wear conditions for sustainable remanufacturing
Yeung, H., Ataya, S., Hassanin, H., El-Sayed, M., Ahmadein, M., A. Alsaleh, N., Ahmed, M. and Essa, K. 2023. Non-destructive disassembly of interference fit under wear conditions for sustainable remanufacturing. Machines. 11 (5), p. 538. https://doi.org/10.3390/machines11050538
Fabrication and characterization of oxygen-generating polylactic acid/calcium peroxide composite filaments for bone scaffolds
Mohammed, A., Saeed, A., Elshaer, A., Melaibari, A., Memić, A., Hassanin, H. and Essa, K. 2023. Fabrication and characterization of oxygen-generating polylactic acid/calcium peroxide composite filaments for bone scaffolds. Pharmaceuticals. 16 (4), p. 627. https://doi.org/10.3390/ph16040627
Using second-life batteries and solar power to help farms become energy efficient.
Al-Alawi, M., Cugley, J. and Hassanin, H. 2023. Using second-life batteries and solar power to help farms become energy efficient. Canterbury Christ Church University.
Chip formation and orthogonal cutting optimisation of unidirectional carbon fibre composites
Hassanin, H., Abena, A., Soo, L., Ataya, S., El-Sayed, M., Ahmadein, M., A. Alsaleh, N., Ahmed, M. and Essa, K. 2023. Chip formation and orthogonal cutting optimisation of unidirectional carbon fibre composites. Polymers. 15 (8), p. 1897. https://doi.org/10.3390/polym15081897
Fabrication and Optimisation of Ti-6Al-4V Lattice-Structured Total Shoulder Implants Using Laser Additive Manufacturing
Bittredge, Oliver, Hassanin, H., El-Sayed, M., Eldessouky, Hossam Mohamed, A. Alsaleh, N., Alrasheedi, Nashmi H., Essa, K. and Ahmadein, M. 2022. Fabrication and Optimisation of Ti-6Al-4V Lattice-Structured Total Shoulder Implants Using Laser Additive Manufacturing. Materials (Basel, Switzerland). 15 (9), p. e3095. https://doi.org/10.3390/ma15093095
Elastomer-based visuotactile sensor for normality of robotic manufacturing systems
Hassanin, H., Zaid, I., Halwani, M., Ayyad, A., Imam, A., Almaskari, F. and Zweiri, Y. 2022. Elastomer-based visuotactile sensor for normality of robotic manufacturing systems. Polymers. 14 (23), p. 5097. https://doi.org/10.3390/polym14235097
Techno-economic feasibility of retired electric-vehicle batteries repurpose/reuse in second-life applications: A systematic review
Hassanin, H., Al-Alawi, M. and Cugley, J. 2022. Techno-economic feasibility of retired electric-vehicle batteries repurpose/reuse in second-life applications: A systematic review. Energy and Climate Change. 3 (100086). https://doi.org/10.1016/j.egycc.2022.100086
Planning, operation, and design of market-based virtual power plant considering uncertainty
Hassanin, H., Ullah, Z., Arshad, Cugley, J. and Al-Alawi, M. 2022. Planning, operation, and design of market-based virtual power plant considering uncertainty. Energies. 19 (15), p. 7290. https://doi.org/10.3390/en15197290
The epistemic insight digest: Issue : Autumn 2022
Gordon, A., Shalet, D., Simpson, S., Hassanin, H., Lawson, F., Lawson, M., Litchfield, A., Thomas, C., Canetta, E., Manley, K. and Choong, C. Shalet, D. (ed.) 2022. The epistemic insight digest: Issue : Autumn 2022. Canterbury Canterbury Christ Church University.
Modeling, optimization, and analysis of a virtual power plant demand response mechanism for the internal electricity market considering the uncertainty of renewable energy sources
Ullah, Z., Arshad and Hassanin, H. 2022. Modeling, optimization, and analysis of a virtual power plant demand response mechanism for the internal electricity market considering the uncertainty of renewable energy sources. Energies. 15 (14), p. 5296. https://doi.org/doi.org/10.3390/en15145296
Interdisciplinary engineering education - essential for the 21st century
Gordon, A., Simpson, S. and Hassanin, H. 2022. Interdisciplinary engineering education - essential for the 21st century.
Multipoint forming using hole-type rubber punch
Hassanin, H., Tolipov, A., El-Sayed, M., Eldessouky, H., A. Alsaleh, N., Alfozan, A., Essa, K. and Ahmadein, M. 2022. Multipoint forming using hole-type rubber punch. Metals. 12 (3), p. 491. https://doi.org/10.3390/met12030491
Influence of bifilm defects generated during mould filling on the tensile properties of Al−Si−Mg cast alloys
El-Sayed, M., Essa, K. and Hassanin, H. 2022. Influence of bifilm defects generated during mould filling on the tensile properties of Al−Si−Mg cast alloys. Metals. 12 (1), p. e160. https://doi.org/10.3390/met12010160
Effect of runner thickness and hydrogen content on the mechanical properties of A356 alloy castings
El-Sayed, M., Essa, K. and Hassanin, H. 2021. Effect of runner thickness and hydrogen content on the mechanical properties of A356 alloy castings . International Journal of Metalcasting. https://doi.org/10.1007/s40962-021-00753-x
Parts design and process optimization
Hassanin, Hany, Bidare, Prveen, Zweiri, Yahya and Essa, Khamis 2021. Parts design and process optimization. in: Salunkhe, S., Hussein, H. and Davim, J. (ed.) Applications of Artificial Intelligence in Additive Manufacturing USA IGI Global. pp. 25-49
Micro-additive manufacturing technologies of three-dimensional MEMS
Hassanin, H., Sheikholeslami, G., Pooya, S. and Ishaq, R. 2021. Micro-additive manufacturing technologies of three-dimensional MEMS . Advanced Engineering Materials. https://doi.org/10.1002/adem.202100422
Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
Fan , W., Chen, Y., Li, J., Sun, Y., Feng, F., Hassanin, H. and Sareh, P. 2021. Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications. Structures. 33, pp. 3954-3963. https://doi.org/10.1016/j.istruc.2021.06.110
Porosity, cracks, and mechanical properties of additively manufactured tooling alloys: A review
Bidare, P., Jiménez, A., Hassanin, H. and Essa, K. 2021. Porosity, cracks, and mechanical properties of additively manufactured tooling alloys: A review. Advances in Manufacturing. https://doi.org/10.1007/s40436-021-00365-y
Laser powder bed fusion of Ti-6Al-2Sn-4Zr-6Mo alloy and properties prediction using deep learning approaches
Hassanin, H., Zweiri, Y., Finet, L., Essa, K., Qiu, C. and Attallah, M. 2021. Laser powder bed fusion of Ti-6Al-2Sn-4Zr-6Mo alloy and properties prediction using deep learning approaches. Materials. 14 (8), p. 2056. https://doi.org/10.3390/ma14082056
3DP printing of oral solid formulations: a systematic review
Brambilla, C., Okafor-Muo, O., Hassanin, H. and ElShaer, A. 2021. 3DP printing of oral solid formulations: a systematic review. Pharmaceutics. 13 (3), p. 358. https://doi.org/10.3390/pharmaceutics13030358
Powder-based laser hybrid additive manufacturing of metals: A review
Hassanin, H. 2021. Powder-based laser hybrid additive manufacturing of metals: A review. The International Journal of Advanced Manufacturing Technology.
Micro-fabrication of ceramics: additive manufacturing and conventional technologies
Hassanin, H., Essa, K., Elshaer, A., Imbaby, M. and El-Sayed, T. E. 2021. Micro-fabrication of ceramics: additive manufacturing and conventional technologies. Journal of Advanced Ceramics. 10, pp. 1-27. https://doi.org/10.1007/s40145-020-0422-5
4D Printing of origami structures for minimally invasive surgeries using functional scaffold
Langford, T, Mohammed, A., Essa, K., Elshaer, A. and Hassanin, H. 2020. 4D Printing of origami structures for minimally invasive surgeries using functional scaffold. Applied Sciences. 11 (1), p. 332. https://doi.org/10.3390/app11010332
Reconfigurable multipoint forming using waffle-type elastic cushion and variable loading profile
Hassanin, H., Mohammed, M., Abdel-Wahab, A. and Essa, K 2020. Reconfigurable multipoint forming using waffle-type elastic cushion and variable loading profile. Materials.
3D printing of solid oral dosage forms: numerous challenges with unique opportunities
Hassanin, H. 2020. 3D printing of solid oral dosage forms: numerous challenges with unique opportunities. Journal of Pharmaceutical Sciences. https://doi.org/10.1016/j.xphs.2020.08.029
Design optimisation of additively manufactured titanium lattice structures for biomedical implants
El-Sayed, M.A., Essa, K., Ghazy, M. and Hassanin, H. 2020. Design optimisation of additively manufactured titanium lattice structures for biomedical implants. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-020-05982-8
4D Printing of NiTi auxetic structure with improved ballistic performance
Hassanin, H., Abena, A., Elsayed, M.A. and Essa, K. 2020. 4D Printing of NiTi auxetic structure with improved ballistic performance. Micromachines. 11 (8), p. 745. https://doi.org/doi.org/10.3390/mi11080745