ABSTRACT
Measurements of the open circuit voltage of Li-ion cells have been extensively used as a non-destructive characterisation tool. Another technique based on entropy change measurements has also been applied for this purpose. More recently, both techniques have been used to make qualitative statements about aging in Li-ion cells. One proposed cause of cell failure is point defect formation in the electrode materials. The steps in voltage profiles, and the peaks in entropy profiles are sensitive to order/disorder transitions arising from Li/vacancy configurations, which are affected by the host lattice structures. We compare the entropy change results, voltage profiles and incremental capacity (dQ/dV) obtained from coin cells with spinel lithium manganese oxide (LMO) cathodes, Li1+yMn2-yO4, where excess Li y was added in the range 0 ≤ y ≤ 0.2. A clear trend of entropy and dQ/dV peak amplitude decrease with excess Li amount was determined. The effect arises, in part, from the presence of pinned Li sites, which disturb the formation of the ordered phase. We modelled the voltage, dQ/dV and entropy results as a function of the interaction parameters and the excess Li amount, using a mean field approach. For a given pinning population, we demonstrated that the asymmetries observed in the dQ/dV peaks can be modelled by a single linear correction term. To replicate the observed peak separations, widths and magnitudes, we had to account for variation in the energy interaction parameters as a function of the excess Li amount, y. All Li-Li repulsion parameters in the model increased in value as the defect fraction, y, increased. Our paper shows how far a computational mean field approximation can replicate experimentally observed voltage, incremental capacity and entropy profiles in the presence of phase transitions.
ABSTRACT
OBJECTIVE: Simulation training improves laparoscopic performance. Laparoscopic basic skills can be learned in simulators as box- or virtual-reality (VR) trainers. However, there is no clear recommendation for either box or VR trainers as the most appropriate tool for the transfer of acquired laparoscopic basic skills into a surgical procedure. DESIGN: Both training tools were compared, using validated and well-established curricula in the acquirement of basic skills, in a prospective randomized trial in a 5-day structured laparoscopic training course. Participants completed either a box- or VR-trainer curriculum and then applied the learned skills performing an ex situ laparoscopic cholecystectomy on a pig liver. The performance was recorded on video and evaluated offline by 4 blinded observers using the Global Operative Assessment of Laparoscopic Skills (GOALS) score. Learning curves of the various exercises included in the training course were compared and the improvement in each exercise was analyzed. SETTING: Surgical Skills Lab of the Department of General and Visceral Surgery, University Hospital Muenster. PARTICIPANTS: Surgical novices without prior surgical experience (medical students, n = 36). RESULTS: Posttraining evaluation showed significant improvement compared with baseline in both groups, indicating acquisition of laparoscopic basic skills. Learning curves showed almost the same progression with no significant differences. In simulated laparoscopic cholecystectomy, total GOALS score was significantly higher for the box-trained group than the VR-trained group (box: 15.31 ± 3.61 vs. VR: 12.92 ± 3.06; p = 0.039; Hedge׳s g* = 0.699), indicating higher technical skill levels. CONCLUSIONS: Despite both systems having advantages and disadvantages, they can both be used for simulation training for laparoscopic skills. In the setting with 2 structured, validated and almost identical curricula, the box-trained group appears to be superior in the better transfer of basic skills into an experimental but structured surgical procedure.