About

Ola Harrysson is an Edward P. Fitts Distinguished Professor at NC State University within the Department of Industrial and Systems Engineering. His research focuses on areas related to manufacturing, engineering, and systems optimization. As a distinguished faculty member, he contributes significantly to the academic and research community in these fields, advancing knowledge and innovation through his work. His role involves leadership in research initiatives and collaboration with industry partners, emphasizing the development of sustainable manufacturing processes and systems. His expertise and contributions are recognized through his title and position, reflecting his impact on the field of industrial engineering and systems optimization.

Research topics

• Engineering
• Materials science
• Computer Science
• Manufacturing engineering
• Mechanical engineering
• Composite material
• Nanotechnology
• Metallurgy

Selected publications

• Powder-based numerical study of melt pool behaviors for Inconel 718 with TiC reinforcement using laser powder bed fusion process

  Optics & Laser Technology · 2025-12-05 · 1 citations

  articleSenior author
  PublisherDOI

• Impact of graphene nanoparticles on DLP-printed parts' mechanical behavior

  Advances in Industrial and Manufacturing Engineering · 2024 · 6 citations

  • Materials science
  • Nanotechnology
  • Engineering

  Digital Light Processing (DLP) is one of the most promising techniques among the additive manufacturing (AM) technologies for polymer resin. The polymer parts produced through this technique demonstrate a diverse range of characteristics that can be specifically designed for various fields of application. Specific attributes can be attained by utilizing polymer composites composed of multiple materials in numerous ratios. This research delves into evaluating and comparing different properties, including microstructure, surface texture, and mechanical behavior, of resin-based polymer composites fabricated using the DLP 3D printing technology. To achieve this, specimens have been printed using photopolymer resin as the base material, with varying percentages of graphene nanoparticles added to the resin. Tensile tests and particle analysis based on optical microscope images validate that optimizing parameters, especially the energy setting of the printer, significantly impact the printed samples' strength, surface texture, layering, and microstructure. The findings indicate that at a specific percentage of graphene, such as 0.5%, there is an increase in tensile strength by 38.1%, Young’s modulus by 54.7%, and Yield strength by 11.2%, accompanied by an improved surface roughness. A graphene concentration of 0.75% results in diminished tensile strength, yield strength, and Young’s modulus. The significance of fine-tuning printing parameters to achieve desired properties in resin-based polymer composites manufactured via 3D printing is highlighted.

  PublisherDOI

• Automatic Feature Based Inspection and Qualification for Additively Manufactured Parts with Critical Tolerances

  2024-12-27

  preprintOpen access

  This work expands the capabilities of the Digital Additive and Subtractive Hybrid (DASH) system by including "geometric qualification" of mechanical products. Specifically, this research incorporates the extended Additive Manufacturing Format files (AMF-TOL) which include American Society of Mechanical Engineers (ASME) Y14.5 specifications for planes, cylinders and other features so that "in-process" inspection can be completed automatically. An example for the production of hols is provided to illustrate On-Machine-Measurement collects sample radii to estimate the size and position of finished cylindrical features. Statistical analysis was used to measure bounds for comparison to specified tolerance callouts to determine whether a part is within specification, within a user-defined level of confidence. Seven different sampling strategies were evaluated on a DASH part including the bird cage sampling strategy defined in ISO-12180. Part data was utilized to show that for large data samples no statistically significant difference in accuracy was identified for four methods. Finally, analysis shows that using the DASH process with automatic inspection is economically advantageous for low volume production runs.

  PublisherOA PDFDOI

• Novel 3D Custom-Made Silicone Tumor Model as a Support for Teaching Surgical Oncology Principles

  Journal of Veterinary Medical Education · 2023-06-05

  articleSenior author

  Alternative laboratory teaching methods are becoming increasingly desirable and effective in medical education environments. While ethical concerns associated with the use of live animals in terminal surgery laboratories have been reduced with cadaveric models, availability, and lack of pathology can limit their ability to adequately convey surgical principles and replicate clinical training. We have developed a three-dimensional (3D) custom-made silicone soft tissue tumor model using 3D-printed molds derived from canine soft tissue sarcoma computed tomography images. This novel teaching model allows users to apply surgical oncology principles and perform basic technical tasks such as incisional biopsy, margin demarcation, marginal and wide surgical excision, and inking of surgical margins. A large cohort of students in addition to a small number of professional veterinarians at different levels of specialty training followed the laboratory guidelines and evaluated the simulated tumor model based on a qualitative survey. All participants were able to successfully complete the practical training. The model also allowed the students to identify and correct technical errors associated with biopsy sampling and margin dissection, and to understand the clinical impacts related to those errors. Face and content validity of the model were assessed using Likert-style questionnaires with overall average instructors' scores of 3.8/5 and 4.6/5, respectively. Content validity assessment of the model by the students approximated instructors' evaluation with an overall average score of 4.4/5. This model development emphasizes the efficacy of alternative non-cadaveric laboratory teaching tools and could become a valuable aid in the veterinary curricula.

  PublisherDOI

• Performances of novel custom 3D-printed cutting guide in canine caudal maxillectomy: a cadaveric study

  Frontiers in Veterinary Science · 2023-06-08 · 5 citations

  articleOpen accessSenior author

  Introduction Caudal maxillectomies are challenging procedures for most veterinary surgeons. Custom guides may allow the procedure to become more accessible. Methods A cadaveric study was performed to evaluate the accuracy and efficiency of stereolithography guided (3D-printed) caudal maxillectomy. Mean absolute linear deviation from planned to performed cuts and mean procedure duration were compared pairwise between three study groups, with 10 canine cadaver head sides per group: 3D-printed guided caudal maxillectomy performed by an experienced surgeon (ESG) and a novice surgery resident (NSG), and freehand procedure performed by an experienced surgeon (ESF). Results Accuracy was systematically higher for ESG versus ESF, and statistically significant for 4 of 5 osteotomies ( p < 0.05). There was no statistical difference in accuracy between ESG and NSG. The highest absolute mean linear deviation for ESG was <2 mm and >5 mm for ESF. Procedure duration was statistically significantly longer for ESG than ESF ( p < 0.001), and for NSG than ESG ( p < 0.001). Discussion Surgical accuracy of canine caudal maxillectomy was improved with the use of our novel custom cutting guide, despite a longer duration procedure. Improved accuracy obtained with the use of the custom cutting guide could prove beneficial in achieving complete oncologic margins. The time increase might be acceptable if hemorrhage can be adequately controlled in vivo . Further development in custom guides may improve the overall efficacy of the procedure.

  PublisherOA PDFDOI

• Resource planning for direct fabrication of customized orthopedic implants using EBM technology

  Journal of Manufacturing Systems · 2021 · 11 citations

  Senior authorCorresponding
  • Computer Science
  • Manufacturing engineering
  • Computer Science
  PublisherDOI

• Cryogenic mechanical alloying of aluminum matrix composites for powder bed fusion additive manufacturing

  Journal of Composite Materials · 2020 · 5 citations

  • Materials science
  • Composite material
  • Metallurgy

  Cryogenic mechanical alloying (cryomilling) was employed to fabricate aluminum matrix composite powder feedstock for additive manufacturing. The high energy milling of the powder system induces a homogenous distribution of reinforcement particles in the matrix powder by recurrent fracture and cold welding. In this study, aluminum matrix composite feedstock were produced via different cryomilling techniques at varying compositions, powder charges, and milling times. As-milled powders were characterized for particle size distribution, morphology, and homogeneity. Resultant powder demonstrated varying characteristics correlated to milling parameters. Powder metallurgy samples were also fabricated to understand as-sintered reinforcement distribution and the resultant strengthening. This research provides an indication of cryomilling capabilities to become an effective method for custom alloy powder production for powder bed fusion additive manufacturing.

  PublisherDOI

• Advanced Manufacturing Using Linked Processes: Hybrid Manufacturing

  IntechOpen eBooks · 2019-10-14 · 5 citations

  book-chapterOpen accessSenior author

  Hybrid Manufacturing Processes (HMP) can significantly reduce time to customer, waste, and tooling costs per part, while increasing possible part geometric complexity for small batch parts. In the following chapter, HMP is defined by the production of parts produced first with a near-net shape process using methods including: additive manufacturing, casting, injection molding, etc., which is then coupled with multi-axis computer numerical control (CNC) subtractive machining or some other secondary material removal process. Creating process plans for such hybrid manufacturing processes typically takes weeks rather than hours or days. This chapter outlines several hybrid manufacturing processes and the intricacies required to develop process plans for these complex linked processes. A feature-based advanced hybrid manufacturing process planning system (FAH-PS) uses feature-specific geometric, tolerance, and material data inputs to generate automated process plans based on user-specified feature precedence for additive-subtractive hybrid manufacturing. Plans generated by FAH-PS can optimize process plans to minimize tool changes, orientation changes, etc., to improve process times. A case study of additive-subtractive methods for a patient-specific bone plate, demonstrates system capabilities and processing time reductions as compared to the current manual process planning for hybrid manufacturing methodologies. Using the generated FAH-PS process plan resulted in a 35% reduction in machining time from the current hybrid manufacturing strategy.

  PublisherOA PDFDOI

• Characterization of Ni–Ti Alloy Powders for Use in Additive Manufacturing

  Russian Journal of Non-Ferrous Metals · 2018-07-01 · 27 citations

  article

  Additive manufacturing (AM) offers a fully integrated fabrication solution within many engineering applications. Particularly, it provides attractive processing alternatives for nickel-titanium (Ni–Ti) alloys to overcome traditional manufacturing challenges through layer by layer approach. Among powder-based additive manufacturing processes, the laser beam melting (LBM) and the electron beam melting (EBM) are two promising manufacturing methods for Ni–Ti shape memory alloys. In these methods, the physical characteristics of the powder used as raw material in the process have a significant effect on the powder transformation, deposition, and powder-beam interaction. Thus, the final manufactured material properties are highly affected by the properties of the powder particles. In this study, the Ni−Ti powder characteristics are investigated in terms of particle size, density, distribution and chemical properties using EDS, OM, and SEM analyses in order to determine their compatibility in the EBM process. The solidification microstructure, and after built microstructure are also examined for the gas atomized Ni–Ti powders.

  PublisherDOI

• Development of a modular computer-aided process planning (CAPP) system for additive-subtractive hybrid manufacturing of pockets, holes, and flat surfaces

  The International Journal of Advanced Manufacturing Technology · 2018-02-22 · 33 citations

  articleSenior author
  PublisherDOI

Frequent coauthors

• Richard A. Wysk

  North Central State College

  15 shared

• Harvey West

  North Carolina State University

  9 shared

• Russell E. King

  North Central State College

  7 shared

• Denis Cormier

  Rochester Institute of Technology

  5 shared

• Guha Manogharan

  Pennsylvania State University

  5 shared

• Brandon M. McConnell

  North Carolina State University

  4 shared

• Tushar Mahale

  MIT Academy of Engineering

  4 shared

• Christopher Kelly

  King's College London

  4 shared

Awards & honors

• Top North American Researcher in Industrial and Manufacturin…
• Fellow Award, Institute of Industrial Engineering (2018)
• Edward P. Fitts Distinguished Professor (2017)
• Technical Innovation in Industrial Engineering Award, Instit…