Variations in mould shrinkage when using organic and inorganic pigments in semicrystalline polymers is a well-known phenomenon within industry. These differences in mould shrinkage are thought to be caused by the presence of the pigments acting as nucleating agents, altering the crystallisation of semicrystalline polymers. These shrinkage variations can give rise to problems in obtaining the correct interference fit between parts and can cause issues in automated equipment such as filling lines. It has been previously reported that the onset temperature of crystallisation measured via DSC (differential scanning calorimetry) can be used to predict shrinkage when a variety of neat pigments are added to un-nucleated PP (polypropylene). However, the shrinkage and crystallisation behaviour of masterbatch pigments, which are widely used industrially is poorly understood. To better understand the influence of masterbatch pigments on crystallisation and shrinkage behaviour, injection moulded samples were prepared using variety of reds, whites, and purple commercial-masterbatch pigments with PP. The crystallisation kinetics and crystallinity were studied using DSC, LPOM (Linkam hot stage polarising optical microscopy), XRD (X-ray diffraction), and FTIR (Fourier transform infrared spectroscopy). The morphology was investigated via LPOM and SEM (scanning electron microscopy). A clear correlation was observed between the crystallisation onset temperature measured using DSC and the recorded shrinkage. A strong relationship was also observed between the percentage crystallinity measured using FTIR and shrinkage. Quinacridone and pyrrole based red and purple pigments were found to act as strong nucleating agents, with the pyrrole based red pigment also acting as β nucleator in PP. The white pigments were found to have less influence on the nucleation behaviour. For the pigments which induced the largest variation in shrinkage, a higher rate of nucleation and proportionally smaller spherulitic diameter was observed by DSC, SEM, and LPOM.

Recently, high-performance polymers (HPP) have been exploited in the world of additive manufacturing (AM) as a result of improved techniques and the ability to process these materials which require higher processing temperatures. These materials present enhanced mechanical properties, chemical resistance, and thermal stability, increasing AM potentials beyond prototyping applications. Polyether ether ketone (PEEK) has been recognised for its mechanical properties due to its semi crystalline nature and established itself as a biomaterial, possessing biocompatibility and chemical resistance. Polyetherimide (PEI) is renowned for its thermal stability and has been utilised in high temperature-dependent applications. PEEK and PEI are one of the few miscible blends of HPPs, characterized through the presence of a single glass transition temperature. Both materials individually present properties which make them ideal for biomedical applications and through the blending of these materials the biomedical industry could benefit from the synergistic outcome. This review paper will look at PEEK, PEI, and their blends, focusing on the printing parameters, crystallinity and reinforcements. It will also take a look at some of the areas which PEEK and PEI are currently being used, including, implants, prosthetics, and Tissue Engineering.

Additively manufactured implants, surgical guides, and medical devices that would have direct contact with the human body require predictable behaviour when stress is applied during their standard operation. Products built with Fused Filament Fabrication (FFF) possess orthotropic characteristics, thus, it is necessary to determine the properties that can be achieved in the XY- and Z-directions of printing. A concentration of 10 wt% of hydroxyapatite (HA) in polyetherketoneketone (PEKK) matrix was selected as the most promising biomaterial supporting cell attachment for medical applications and was characterized with an Ultimate Tensile Strength (UTS) of 78.3 MPa and 43.9 MPa in the XY- and Z-directions of 3D printing, respectively. The effect of the filler on the crystallization kinetics, which is a key parameter for the selection of semicrystalline materials suitable for 3D printing, was explained. This work clearly shows that only in situ crystallization provides the ability to build parts with a more thermodynamically stable primary form of crystallites.

This study focuses on evaluating the fatigue life performance of 3D-printed polymer composites produced through the fused deposition modelling (FDM) technique. Fatigue life assessment is essential in designing components for industries like aerospace, medical, and automotive, as it provides an estimate of the component’s safe service life during operation. While there is a lack of detailed research on the fatigue behaviour of 3D-printed polymer composites, this paper aims to fill that gap. Fatigue tests were conducted on the 3D-printed polymer composites under various loading conditions, and static (tensile) tests were performed to determine their ultimate tensile strength. The fatigue testing load ranged from 80% to 98% of the total static load. The results showed that the fatigue life of the pressed samples using a platen press was significantly better than that of the non-pressed samples. Samples subjected to fatigue testing at 80% of the ultimate tensile strength (UTS) did not experience failure even after 1 million cycles, while samples tested at 90% of UTS failed after 50,000 cycles, with the failure being characterized as splitting and clamp area failure. This study also included a lap shear analysis of the 3D-printed samples, comparing those that were bonded using a two-part Araldite glue to those that were fabricated as a single piece using the Markforged Mark Two 3D printer. In summary, this study sheds light on the fatigue life performance of 3D-printed polymer composites fabricated using the FDM technique. The results suggest that the use of post-printing platen press improved the fatigue life of 3D-printed samples, and that single printed samples have better strength of about 265 MPa than adhesively bonded samples in which the strength was 56 MPa.

Additive manufacturing (AM) is an advanced technique to fabricate a complex geometrical structure using polymer, metals, ceramics, and composite materials. Fused filament fabrication (FFF) is the most widely used extrusion‐based AM technique to manufacture polymer and composite parts. Continuous carbon fiber (CCF) is a lightweight high‐strength material that offers exceptional mechanical durability and performance when incorporated with polymers; it significantly enhances their performance. To print continuous fibers using the material extrusion technique, various methods have been adapted according to the AM technology. In this study, a self‐developed co‐extrusion with towpreg method was employed to fabricate the continuous fiber polymer composites in which both the materials polymer filament matrix and CCF reinforcement were inserted separately and extruded together through a single nozzle. Two important printing process parameters (layer height and line width) were considered with different ranges to investigate their influence on the mechanical properties (tensile, flexural, shear and compressive), air void volume, and fiber volume fraction. The results obtained demonstrate that both parameters have a significant impact on the properties and are mostly influenced by the layer height of the samples. The group of composite specimens with the layer height of 0.4 mm and line width of 1.0 mm showed the highest tensile, flexural, shear, and compressive strength of 372.68, 247.59, 42.83, and 184.19 MPa, respectively, with the minimum air void volume of 13.84%. Furthermore, the research outcomes highlight that the composites properties can be optimized by adjusting printing process parameters.Highlights: Co‐extrusion with towpreg process was employed to fabricate CCFRTC. Layer height and line width were investigated for their influence on properties. The theoretical model was used to predict modulus to validate the model's accuracy. The results demonstrated that both the parameters have a significant impact. This investigation led to improving the performance of CCFRTCs