 Original Article
 Open Access
 Published:
Oblique Cutting Based Mechanical Model for Insertion Torque of Dental Implant
Chinese Journal of Mechanical Engineering volume 35, Article number: 56 (2022)
Abstract
The insertion torque of a dental implant is an important indicator for the primary stability of dental implants. Thus, the preoperative prediction for the insertion torque is crucial to improve the success rate of implantation surgery. In this present research, an alternative method for prediction of implant torque was proposed. First, the mechanical model for the insertion torque was established based on an oblique cutting process. In the proposed mechanical model, three factors, including bone quality, implant geometry and surgical methods were considered in terms of bonequality coefficients, chip load and insertion speeds, respectively. Then, the defined bonequality coefficients for cancellous bone with the computed tomography (CT) value of 235–245, 345–355 and 415–425 Hu were obtained by a series of insertion experiments of IS and ITI implants. Finally, the insertion experiments of DIO implants were carried out to verify the accuracy of developed model. The predicted insertion torques calculated by the mechanical model were compared with those acquired by insertion experiments, with good agreement, the relative error being less than 15%. This method allows the insertion torque for different implant types to be quickly established and enhances prediction accuracy by considering the effects of implants’ geometries and surgical methods.
1 Introduction
Implant dentures have been one of the most popular options for teeth loss in last decade [1]. After the implant socket is prepared by a series of processes such as drilling, reaming and tapping, the implant is inserted in alveolar bone with a certain torque, which called the insertion torque. Most clinical data shows that 30–70 N·cm is a reasonable range of insertion torque to achieve satisfactory initial implant stability. This means that if the insertion torque for the implant is in this range, it would ideally be considered that the surgery would be successful [2,3,4], otherwise, the surgery would fail. As the insertion torque can only be known after the whole implant is inserted, if the insertion torque is not good (lower than 30 N·cm or higher than 70 N·cm), the patient has to endure a second surgery. However, if the insertion torque could be predicted before the surgery, it would allow the dentist to make or adjust the surgery plan and improve the surgery success rate. So, this research focuses on the preoperative prediction of the insertion torque. Actually, the reasonable range of insertion torque is different for each patient, depending on their age, gender and height [5, 6], and also implant shape and diameter [7, 8], loading condition [9], etc. However, it is supposed here that the 30–70 N·cm is reasonable for any condition.
To predict implant insertion torque, three factors, implant geometries [10], surgical methods [11, 12] and bone quality, have been considered. It has been shown that the larger insertion torque can be obtained by a conical [13], largediameter implant [14] or a smalldiameter implant socket [15, 16]. Bone quality, which is primarily influenced by bone density, is a key focus for dentists inclinic, and has been shown to be positively correlated with insertion torque [17]. Computed tomography (CT) is normally used to quantify bone density inclinic and several empirical fits have been established for the linear relationship between CT value and insertion torque, which were further used to predict the insertion torque [18,19,20,21]. The accuracy of these empirical fits is largely high, (greater than 80%), however, these formulas are only suitable for just one combination of implant and method of surgery. In order to use empirical formulas to predict the insertion torque, formulas for every combination of implants and surgery would have to be established, which would be timeconsuming and expensive.
In this research, an alternative method to predict the insertion torque is provided by establishing a mechanical model based on oblique cutting theory, although it has been widely accepted in engineering, has not previously been used in calculating insertion torque for dental implants. In the proposed model, using DIO implants as an example, the effects of implant geometry and surgical methods were captured by chip load and insertion speeds, respectively, meanwhile the effect of bone quality was considered by the defined coefficients, termed bonequality coefficients. Then, the bonequality coefficients for the bone quality with CT value of 235–245, 345–355 and 415–425 Hu were obtained by a series of insertion experiments using the IS and ITI implants. With the obtained coefficients, a relationship between insertion torque and bone quality was obtained. Then, the DIO implants were used to verify the accuracy of the developed model. The results show that the model has high accuracy with relative error less than 15%.
2 Mechanical Model Based on Oblique Cutting Theory
The insertion process for dental implants involves two forming methods, i.e., the threadcutting process [22] for implants with cutting edges and the threadforming process for implants without cutting edges [23]. In this section, the implant typed DIO SFR5010 (DIO Innovation Health Care, Busan City, Korea) with 4 cutting edges in the apical part and continuous threads in the tail part was selected to establish the mechanical model for insertion torque.
2.1 Forming Process of Matching Threads
Figure 1 describes the geometry of DIO SFR5010 and its insertion process, where Figure 1(a) is the initial position of implant while Figure 1(b) is the position after one thread was inserted. The threads in the bone are initially formed by successive passes of the cutting edges in the apical part of the implant, in a similar operation to threadcutting using a tap. This process is called the threadcutting process, and the bone debris generate in this process. The threads in the tail part of the implant, without cutting edges, are subsequently inserted [24], in what is called the threadforming process without bone debris generation.
To detail the shape of the matching threads, DIO SFR5010 was cut into 12 thin slices considering only one thread in each. In the apical part, each slice was further separated into 4 cutting elements by 4 cutting edges. The whole process was separated into 12 steps, with one thread inserted into the implant socket per step. The shape of the matching threads in each step was defined by the cutting element passed last. A global coordinate system {C:OXYZ} was attached to the implant. Its origin point O was the starting point of the first threads, and its Zaxis was set along the axis of rotation. The cutting element coordinate system {c:o_{i}x_{i}y_{i}z_{i}} was given to each cutting element. Its xaxis was set parallel to the helical path, where i indicates the ith thread.
The helical path of the matching thread is the same as that of the implant threads, and can be expressed as follows:
x, y, z are the point coordinates of the helical path; θ is the angular position of the helical path; b, h_{d}, P and β are the initial radius, tooth height, pitch and taper angle of DIO SFR5010, respectively. Particularly, in the tail part, β = 0.
The radius r_{i} of the matching thread can be given by the radial distance from the Zaxis to the outer geometry of the ith thread as:
The engagement h_{i} of the ith cutting element can be calculated as follows:
θ_{i1} is the angular position of the last cutting element.
The thread inclination angle γ can be calculated as follows:
where, ξ and λ are the thread lead angle and the flute helix angle, respectively.
2.2 Force–chip Load Relationship
Three assumptions were made as follows: ① each cutting element sustains normal and friction forces, and all forces are applied on the centroid of the respective faces; ② the effects of elastic recovery for the prediction of insertion torque were ignored; ③ insertion torques generated by one thread remained constant throughout the whole insertion process.
According to these assumptions, the forces applied on all cutting elements can be composed of the normal force F_{n} and the friction force F_{f} as follows [25]:
A is chip load, which is equal to the unformed chip area and depends on the implant geometry; K_{n} and K_{f} are specific energies, which are related to the tool geometry and work conditions as follows [26]:
V is the insertion speed, h is the radial engagement of each cutting element, and a_{0}–a_{3} and b_{0}–b_{3} are the specific energy coefficients which depend on materials of the cutting tool (i.e., implant) and the workpiece (i.e., cancellous bone). As most most implants are composed of titanium or titaniumalloys, the a_{0}–a_{3} and b_{0}–b_{3} were only determined by bone quality and defined as bonequality coefficients.
Considering the normal force F_{n} and the friction force F_{f} are different during threadcutting and threadforming processes, they are discussed in Sections 2.2.1 and 2.2.2, respectively.
2.2.1 Forces in Threadcutting Process
In the threadcutting process, as the cutting velocity and the chip flow directions are not perpendicular to the cutting edge, this can be considered an oblique cutting process [27, 28] as shown in Figure 2. The coordinate system {c:ox_{i}y_{i}z_{i}} is used to define the forces on each elements during threadcutting process. Two planes, the normal and chipflow plane, were introduced. The normal plane was defined by the x_{i}axis and z_{i}axis and the chipflow plane was coincident with the rake surface of the cutting edges. In the normal plane, the normal force F_{cni} was defined perpendicular to the rake surface. In the chipflow plane, the friction force F_{cfi} was defined collinear with the chipflow orientation [29]. Meanwhile, the chipflow angle i was defined equal to the inclination angle γ based on the Stabler’s rule.
According to Eqs. (5) and (6), Fcni and F_{cfi} can be expressed as follows:
where, A_{ci} are the chip load of the ith cutting element, and K_{cn} and K_{cf} are the specific energies in the threadcutting process. According to Eqs. (7) and (8), these can be calculated as:
where, a_{0}–a_{3} and b_{0}–b_{3} are the bonequality coefficients during the threadcutting processes, to be further determined by insertion experiments.
The chip load A_{ci} can be calculated as follows:
where, w is the tooth top width of ith cutting element, the radial engagement h_{i} can be calculated according to Eq. (3) as:
where, N_{t} is the number of cutting edges. For DIO SFR5010, N_{t} = 4.
By decomposing F_{cni} and F_{cfi} into the three axes of {c:ox_{i}y_{i}z_{i}}, three axial forces \(F_{{x_{i} }}\), \(F_{{y_{i} }}\) and \(F_{{z_{i} }}\) can be obtained as follows:
Then, the thrust force \(F_{{thr_{i} }}\) and tangential force \(F_{{tan_{i} }}\) of each cutting element and the total insertion torque M can be calculated from Eqs. (16)–(18), respectively.
2.2.2 Forces in Threadforming Process
Like the threadcutting process, in the threadforming process, the cutting velocity and the chip flow directions are not perpendicular either. Therefore, the model was also based on oblique cutting (forming).
However, in this process, as previously mentioned, there is no cutting process, the matching thread is formed by bone plastic deformation and flow. To define the forces during the threadforming process, six faces named S_{1}–S_{6} were introduced as shown in Figure 3. The highest portion of the implant edge, defined by S_{4}–S_{6}, was named as the lobe. This defines the final geometry of the matching thread. The regions before the lobe have a slope to provide relief, which was used to minimize the contact between the implant and the bone material. The normal forces F_{ni} were defined proportional to the contact areas, and the friction forces F_{fi} were defined collinear with chipflow orientation [30], in the same way as the threadcutting process:
where, K_{fn} and K_{ff} are the specific energies during the threadforming process. According to the Eqs. (7) and (8), they can be calculated using:
where, c_{0}–c_{3} and d_{0}–d_{3} are the bonequality coefficients in the threadforming process which would be further determined by insertion experiments.
The chip load A_{fi} can be calculated as follows:
where, h_{i} is the radial engagement of the ith thread and it was given by Eq. (3), α is the thread angle, η_{1} and η_{2} are the incident angle and the loberelief angle of threads, respectively, z_{i} is the z coordinate of the point Q and it is given by:
where, r_{k} is the first thread without cutting edges.
By decomposing F_{fni} and F_{ffi} of the ith thread into three axes of {c:ox_{i}y_{i}z_{i}}, three axial forces can be obtained by:
Then, the thrust force \(F_{{thr_{i} }}\) and the tangential force \(F_{{tan_{i} }}\) of each cutting element and the total insertion torque M can be calculated by:
According to Eqs. (15)–(18) and (26)–(29), it could be observed that the insertion torque was related to the normal and the friction force, which were determined by ① bonequality coefficients, ② insertion speed V, ③ radial engagement h_{i} and ④ chip load A. These give a good explanation for the effects of the bone quality, surgical methods, and the implant geometry, respectively. When the implant and the surgical method were selected, h_{i}, A and V can be determined. The only consideration is the bonequality coefficients, which were given in Section 3.
3 Determination of Bonequality Coefficient and Validation of Mechanical Model
To define the bonequality coefficients, more than 80 bone blocks with the size of 25 × 25 × 40 mm^{3} were cut from the epiphysis areas of four bovine femurs with different age, weight and gender as shown in Figure 4. The mean CT value of bone material within 1 mm around the predicted implant socket for each bone block as shown in Table 1 were recorded by Planmeca ProMax® 3D Mid CT (Planmeca UK Limited, Coventry, UK. scanning time: 13.929 s, tube voltage: 90 kV tube current: 10 mA). According to recorded CT value, 36 bone blocks were selected and further classified into 3 groups with the CT value of 235–245, 345–355, and 415–425 HU, respectively.
3.1 Insertion Experiments
Three groups of insertion experiments were conducted. The geometry parameters of these implants were shown as Table 2.
In Table 2, β_{1}, α_{1}, L_{1}, D_{1}, P_{1}, H_{1} are the parameters of apical part of implant DIO SFR5010 while β_{2}, α_{2}, α_{3}, L_{2}, D_{2}, P_{2}, H_{2} the tail part of implant DIO SFR5010.
IS implants (IS BIS4510 and IS BIS5010, Neobiotech Co.,Ltd., Seoul, Korea) with cutting edges were used to determine bonequality coefficients a_{0}–a_{3} and b_{0}–b_{3} while ITI implants (ITI RN4510 and ITI RN5010, ITI International Team for Implantology, Basel, Switzerland) without cutting edges were used to determine bonequality coefficients c_{0}–c_{3} and d_{0}–d_{3}. DIO SFR5010 were used to verify the established model.
The insertion experiments involved the drilling processes of implant sockets and the insertion process of implants. They were conducted on the CNC machine (HAAS OM2A, Haas Automation Inc., Oxnard, CA, USA). The equipment setting was shown in Figure 5. The parameters of drills and experiment setting were listed as Table 3. To minimize the coaxially error between the implants and corresponding predicted implant sockets, there was no interruption between the drilling and insertion processes. The high accuracy dynamometer (Kistler9119AA2, Kistler Instruments Ltd., London, UK, sampling rate: 1200 Hz) was used to capture the thrust forces and insertion torques during the insertion process of implants.
3.2 Bonequality Coefficients
The results of thrust forces \(F_{{thr_{i} }}\) and insertion torques of IS and ITI implants were presented as Figure 6.
The peak torque and thrust force were used to determine the bonequality coefficients for threadcutting and threadforming processes. The obtained bonequality coefficients were listed in Tables 4 and 5.
It was observed that the bonequality coefficients a_{0}–a_{3}, b_{0}–b_{3}, c_{0}–c_{3} and d_{0}–d_{3} were different in 3 group, which is the good explanation for the effects of bone quality.
Until now, we can get the general equations for dentists to predict insertion torque by substituting the bonequality coefficients into the mathematical framework. Taking Group 1 as an example, K_{cn}, K_{cf}, K_{fn} and K_{ff} were given by:
As the K_{cf} is much smaller than K_{cn}, it can be ignored, and insertion torque with simplified form can be given by:
where Eq. (34) is used for implant with cutting edge while Eq. (35) is used for implant without cutting edge, y(η) and z_{i} are given as follows:
3.3 Validation of Mechanical Model
The predicted insertion torque of bone block A_{11}, A_{12}, B_{11}, B_{12}, C_{11}, C_{12} were compared with that obtained by insertion experiments using DIO SFR5010. The torques of each thread during the insertion processes were listed in Figure 7 and Table 6. The insertion torque is the peak torque. As the bone blocks A_{11} and A_{12} are both in Group 1, thus, they share the same bonequality in either threadcutting or thread forming process, and there is only one predicted value to be compared, same as B_{11} and B_{12}, C_{11} and C_{12}.
In Figure 7 and Table 6, the two series of measured values for Group 1–3 were obtained by insertion experiments by bone blocks A_{11}, A_{12}, B_{11}, B_{12}, C_{11}, C_{12}, respectively. As shown in Figure 7, the variations of material properties of bone blocks brought a significant fluctuation of the initial insertion torques obtained by experiments. But the trends and predicted peak insertion torques by mechanical models agreed well with that acquired by insertion experiments. The relative errors were calculated as follows.
The errors were mainly caused by ① the simplification in the modeling process; ② the deviation between the predicted implant sockets and the real implant sockets. As the surgery process for implant socket is fully conducted by dentist, the real implant sockets could not perfect as predicted one. There would be, for example, the deviation for position or the central axis even for a skilled dentist; ③ the heterogeneous of bone quality in CT scan area. As the material properties for bone material does not only depend on the bone density, but it also depends on the microstructure of the trabecular bone, the unit of the cancellous bone. As the microstructure of the trabecular bone is complex and different from point to point, there is high heterogeneous properties for bone material. In prediction model, the material properties of bone are decided by bone density, therefore, the effect of the heterogeneous cannot be predicted. We think, the error within 15% could be accepted in clinical prediction. In addition, considering the errors were contributed by three influence factors: bone quality, implant geometry and surgical methods, there is no doubt that the predicted model we established with the relatively high accuracy.
4 Conclusions
In this research, a mechanical model was established for the insertion torque of dental implant. The effect of bone quality, the surgical method and the implant geometry were explained by the model parameters: ① bonequality coefficients, ② insertion speed, and ③ radial engagement h_{i}, chip load A and implant diameter r_{i}, respectively. The more specific conclusions can be drawn as follows:

(1)
The bonequality coefficients were determined by bone CT value and different in implants with or without cutting edges. The reasonable explanation for this may be the bone quality depended not only on bone density, i.e., bone CT value, but also the microstructure of trabecular bone.

(2)
The error of this mechanical model result from the ① the simplification of modeling; ② the ignored effects of local anisotropy and heterogeneous of bone quality; ③ the surgical errors.

(3)
The established mechanical model can help dentists to make accurate assessment whether the implants and surgical methods are reasonable for individual. Comparing to the fitting formulas, this method can avoid plenty of experiments caused by changing implants and surgical method.
References
T Irinakis, C Wiebe. Initial torque stability of a new bone condensing dental implant. A cohort study of 140 consecutively placed implants. Journal of Oral Implantology, 2009, 35(6): 277–282.
A Nappo, C Rengo, G Pantaleo, et al. Influence of implant dimensions and position on implant stability: A prospective clinical study in maxilla using resonance frequency analysis. Applied ScienceBasel, 2019, 9(5): 43–54.
M Aglietta, V Siciliano, M Zwahlen, et al. A systematic review of the survival and complication rates of implant supported fixed dental prostheses with cantilever extensions after an observation period of at least 5 years. Clinical Oral Implants Research, 2009, 20(5): 441–451.
N Rizkallah, Fischer S, Kraut R A. Correlation between insertion torque and survival rates in immediately loaded implants in the maxilla: A retrospective study. Implant Dentistry, 2013, 22(3): 250–254.
M Akkocaoglu, M C Cehreli, I Tekdemir, et al. Primary stability of simultaneously placed dental implants in extraoral donor graft sites: A human cadaver study. Journal of the American Association of Oral & Maxillofacial Surgeon, 2007, 65(3): 400–407.
P Trisi, G Perfetti, E Baldoni, et al. Implant micromotion is related to peak insertion torque and bone density. Clinical Oral Implants Research, 2009, 20(5): 467–471.
S A Lim, J Y Cha, C J Hwang. Insertion torque of orthodontic miniscrews according to changes in shape, diameter and length. Angle Orthodontist, 2008, 75(2): 234–240.
A C Freitas, E A Bonfante, G Giro, et al. The effect of implant design on insertion torque and immediate micromotion. Clinical Oral Implants Research, 2015, 23(1): 113–118.
I Nikellis, P Levi, M Nicolopoulos, et al. Immediate loading of 190 endosseous dental implants: A prospective observational study of 40 patient treatments with up to 2year data. International Journal of Oral & Maxillofacial Implants, 2004, 19(1): 116–123.
B Wilmes, Y Y Su, D Drescher. Insertion angle impact on primary stability of orthodontic miniimplants. The Angle Orthodontist, 2008, 78(6): 1065–1070.
P S D Patel, D E T Shepherd, D W L Hukins. The effect of screw insertion angle and thread type on the pullout strength of bone screws in normal and osteoporotic cancellous bone models. Medical Engineering & Physics, 2010, 32(8): 822–828.
B Wilmes, D Drescher. Impact of bone quality, implant type, and implantation site preparation on insertion torques of miniimplants used for orthodontic anchorage. International Journal of Oral and Maxillofacial Surgery, 2011, 40(7): 697–703.
J Sakoh, U Wahlmann, E Stender, et al. Primary stability of a conical implant and a hybrid, cylindric screwtype implant in vitro. International Journal of Oral & Maxillofacial Implants, 2006, 21(4): 560–566.
C N Elias, F A Rocha, A L Nascimento, et al. Influence of implant shape, surface morphology, surgical technique and bone quality on the primary stability of dental implants. Journal of the Mechanical Behavior of Biomedical Materials, 2012, 16:169180.
M M Shalabi, J G C Wolke, J A Jansen. The effects of implant surface roughness and surgical technique on implant fixation in an in vitro model. Clinical Oral Implants Research, 2006, 17(2): 172178.
C Makary, A Rebaudi, G Sammartino, et al. Implant primary stability determined by resonance frequency analysis: correlation with insertion torque, histologic bone volume, and torsional stability at 6 weeks. Implant Dentistry, 2012, 21(6): 474–480.
I Turkyilmaz, C Tumer, E N Ozbek, et al. Relations between the bone density values from computerized tomography, and implant stability parameters: a clinical study of 230 regular platform implants. Journal of Clinical Periodontology, 2007, 34(8): 716–722.
T M Keaveny, E F Morgan, G L Niebur, et al. Biomechanics of trabecular bone. Annual Review of Biomedical Engineering, 2001, 3(1): 307–333.
A Beer, A Gahleitner, A Holm, et al. Correlation of insertion torques with bone mineral density from dental quantitative CT in the mandible. Clinical Oral Implants Research, 2003, 14(5): 616–620.
O Ozan, K Orhan, I Turkyilmaz. Correlation between bone density and angular deviation of implants placed using CTgenerated surgical guides. Journal of Craniofacial Surgery, 2011, 22(5): 1755–1761.
J H Lee, J W Park, J H Lee, et al. The correlation between insertion torque of pedicle screws with bone mineral density values in posterior lumbar pedicle screw fixation. The Spine Journal, 2011, 11(10): S145–S146.
J S Agapiou. Evaluation of the effect of high speed machining on tapping. Journal of Engineering for Industry 1994, 116(4): 457–462.
G Fromentin, G Poulachon, A Moisan, et al. Precision and surface integrity of threads obtained by form tapping. CIRP Annals, 2005, 54(1): 519–522.
T Cao, J W Sutherland. Investigation of thread tapping load characteristics through mechanistics modeling and experimentation. International Journal of Machine Tools and Manufacture, 2002, 42(14): 1527–1538.
A P S Dogra, S G Kapoor, R E DeVor. Mechanistic model for tapping process with emphasis on process faults and hole geometry. Journal of Manufacturing Sicinece and Engineering, 2002, 124(1): 18–25.
J E Lee, B A Gozen, O B Ozdoganlar. Modeling and experimentation of bone drilling forces. Journal of Biomechanics, 2012, 45(6): 1076–1083.
F Jiang, T Zhang, L Yan. Analytical model of milling forces based on timevariant sculptured shear surface. International Journal of Mechanical Sciences, 2016, 115: 190–201.
A Moufki, D Dudzinski, A Molinari, et al. Thermoviscoplastic modelling of oblique cutting: forces and chip flow predictions. International Journal of Mechanical Sciences, 2000, 42(6): 1205–1232.
X W Liu, K Cheng, D Webb, et al. Improved dynamic cutting force model in peripheral milling. Part I: Theoretical model and simulation. The International Journal of Advanced Manufacturing Technology, 2002, 20(9): 631–638.
S Chowdhary, R E Devor, S G Kapoor. Modeling forces including elastic recovery for internal thread forming. Journal of Manufacturing Sicinece and Engineering, 2003, 125(4): 681–688.
Acknowledgements
The authors sincerely thanks to Professor Feng Jiang of Huaqiao University for his kindness help and critical discussion during experiment preparation.
Funding
Supported by Major Research & Development Program of Shandong Province (Grant No. 2015GGX103043), and Taishan Scholars Program of Shandong Province (Grant No. ts201712002).
Author information
Authors and Affiliations
Contributions
SZ was in charge of the whole trial; LL wrote the manuscript; LL, QL, CB, AZ assisted with sampling and laboratory analyses. All authors have read and approved the final manuscript.
Authors’ information
Luli Li, received her master degree from Shandong University, China, in 2019. Her research interests include dental implant and bone mechanics. Email: sdbolll@163.com
Song Zhang, received his PhD degree from Shandong University, China, in 2004. He is currently a professor and doctoral supervisor at School of Mechanical Engineering, Shandong University, China. His research fields are fundamental mechanism of highefficiency cutting and machined surface integrity, biomechanics, and so on.
Tel: +8653188392746; Email: zhangsong@sdu.edu.cn
Quhao Li, received his PhD degree from Dalian University of Technology, China, in 2017. He is currently a lecture at School of Mechanical Engineering, Shandong University, China. His research interests include computational solid mechanics, numerical simulation. Email: quhaoli@sdu.edu.cn
Cuirong Bian, received her M.M. degree from Shandong University, China, in 2004. She is currently a Professor and a chief physician at Department of Prosthodontics, Qilu Hospital of Shandong University, China. Her research fields are fixed porcelain repair, reconstruction of maxillofacial bone defects, implant surgery and design, design and fabrication of denture, and so on. Email: cuirong_b88@163.com
Airong Zhang, received her PhD degree from Shandong University, China, in 2020. Her research interests include bone mechanics, dental implant and numerical simulation of bone tissue.
Email: zhangar_ll@163.com
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing financial interests.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Li, L., Zhang, S., Li, Q. et al. Oblique Cutting Based Mechanical Model for Insertion Torque of Dental Implant. Chin. J. Mech. Eng. 35, 56 (2022). https://doi.org/10.1186/s10033022007303
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1186/s10033022007303
Keywords
 Insertion torque
 Mechanical model
 Oblique cutting
 Dental implant