Northern Heavy Industries Group Co.

Shenyang, China

Northern Heavy Industries Group Co.

Shenyang, China
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QUAM CAPITAL Awarded Oaklins Deal of the Year Award 2017 in Recognition of Excellent Co-operation in Mergers and Acquisitions Quam Capital Limited ("Quam Capital"), together with its Oaklins International Inc. ("Oaklins") partner firms in the US and Germany, recently completed a transaction involving the merger of one of the world's leading tunnel boring machine companies, The Robbins Company, with Chinese state-owned enterprise Northern Heavy Industries Group Co., Ltd ("NHI"). At the recent spring conference of Oaklins held in Hong Kong in May 2017, the transaction was voted as the winner of the coveted Oaklins Deal of the Year Award for 2017. Quam Capital's US Oaklins partner firm was appointed by the owners of The Robbins Company, and Quam Capital worked closely with both parties to focus on finding suitable partners in the Chinese market. Quam Capital was successful in soliciting the winning bid from NHI and worked seamlessly with the vendor throughout the transaction to reach a successful conclusion with NHI as the ultimate partner. The transaction is an excellent demonstration of how Quam Capital works together with its Oaklins partner firms through the Oaklins international network to ensure the best possible outcome for clients in an ever increasing global marketplace Quam Capital is the exclusive Hong Kong member firm of Oaklins, the world's leading alliance of independently owned merger and acquisition specialists and investment banking firms. By working with its Oaklins partner firms, Quam Capital is able to leverage on the Oaklins network of over 700 professionals in over 40 countries to secure business and source new referrals across the globe. About Quam Limited Quam Limited ("Quam") is a Hong Kong-based financial services group which was listed on The Stock Exchange of Hong Kong Limited in 1997 (SEHK: 0952). The core businesses of the Group are now comprising Quam Securities, Quam Capital, Quam Asset Management, Quam Wealth Management and By utilizing the best of both its online resources and solid expertise, Quam strives to become the ideal partner for both corporate and individual investors in Hong Kong and China. Quam also offers premier one-stop financial services to its clients. In addition, Quam provides capital markets services through its representative offices or the wholly-owned foreign enterprises in Shenzhen, Shanghai, Shenyang, Ningbo, Dalian, Beijing, Chengdu, Hangzhou and Xiamen of the PRC and through its Global Alliance Partners network in Japan, Thailand, UAE, the United States, the UK, Australia, Indonesia, Jordan and the Philippines. For more information on Quam, please visit About Quam Capital Limited Quam Capital Limited ("Quam Capital") is the corporate finance arm of Quam. It is the premier mid-tier financial services institution in Hong Kong offering a comprehensive range of financial services and wealth management solutions with a global perspective in capital markets. For more information on Quam Capital, please visit its website at For further enquiries, please contact: Quam IR Ms. Jane Chan, +852 2217 2906, Ms. Stella Yuen, +852 2217 2908, Mr. Tong Man Fung, +852 2217 2682, Ms. Nicola Lung, +852 2217 2909,

Zhang K.,Shenyang Jianzhu University | Ren J.,Shenyang Jianzhu University | Guo H.,Shenyang Institute of Engineering | Wu Y.,Shenyang Jianzhu University | Zhao K.,Northern Heavy Industries Group Co
Advanced Materials Research | Year: 2010

With the increase of the quantity demanded, stone products with high quality, really artsy and diversification become more and more best-selling. The special-shaped stone machining equipments with numerical control, single machine intelligent, high speed, high efficiency and multi-function combination must be manufactured to produce these stone products. In this paper, 3D design and project optimization for special-shaped stone composite machining center are carried by Solid Works and innovative design. Model analysis of the crossbeam in this machining center is carried by ANSYS and the maximum deformation value in the crossbeam is found. The crossbeam structure is optimized by comparison and analysis. The design and manufacture of special-shaped stone combined machining center is very helpful for development of manufacturing. © (2010) Trans Tech Publications.

Zhang G.Y.,Jilin University | Wang X.M.,Taiyuan Heavy Machinery Co. | Guo R.,Northern Heavy Industries Group Co. | Wang G.Q.,Jilin University
Applied Mechanics and Materials | Year: 2013

This paper presents an improved particle swarm optimization (PSO) algorithm based on genetic algorithm (GA) and Tabu algorithm. The improved PSO algorithm adds the characteristics of genetic, mutation, and tabu search into the standard PSO to help it overcome the weaknesses of falling into the local optimum and avoids the repeat of the optimum path. By contrasting the improved and standard PSO algorithms through testing classic functions, the improved PSO is found to have better global search characteristics. © (2013) Trans Tech Publications, Switzerland.

Hou Y.J.,Jilin University | Li A.F.,Northern Heavy Industries Group Co. | Gao S.H.,Northern Heavy Industries Group Co. | Wang G.Q.,Jilin University
Applied Mechanics and Materials | Year: 2014

The structural characteristics and requirements of a bucket, combined with the working experience of an excavator, were analyzed to optimize the structure of a WK-20 bucket. The simulation model was defined by the discrete element method (DEM) to characterize the real interaction between the bucket and different materials. Through an analysis and comparison of the performance of the original and optimized buckets, the latter increased the filling coefficient for different materials. The simulation and optimization based on DEM offered the theoretical basis and a reliable method for the reasonable design of the bucket structure and the entire machine. © (2014) Trans Tech Publications, Switzerland.

Yao Z.,Jilin University | Wang G.,Jilin University | Song L.,Northern Heavy Industries Group Co. | Ma Y.,Northern Heavy Industries Group Co. | Li X.,Jilin University
Engineering Failure Analysis | Year: 2015

Long-term continuous high-speed rotation provides the conditions for the occurrence of various failures of ventilation mill (VM) parts, such as the pulverizing fan. Pulverizing fan failure leads to dynamic unbalance of the rotating mechanism, which causes significant damage to the whole system, serious casualties, and high financial loss that may exceed the direct material damage considerably. This study aimed at diagnosing the cause of pulverizing fan damage. To identify the reasons behind pulverizing fan failures, stress state simulations and experimental investigations were performed. Experiments comprised visual and metallographic examinations, chemical composition analyses, mechanical property tests, and strength test, which revealed the nature of the failure. Numerical-experimental analysis results indicate that pulverizing fan failures are mainly caused by inappropriate structural designs and harsh operating conditions. Results also emphasize the importance of comprehensive quality control of VM pulverizing fan. © 2014 Elsevier Ltd.

Zhu L.,Northeastern University China | Zhu L.,Northern Heavy Industries Group Co. | Zhao H.,Northern Heavy Industries Group Co. | Zhang M.,Shenyang Yuanda Aluminum Industry Engineering Co. | Wang W.,Northeastern University China
Applied Mechanics and Materials | Year: 2011

Gear system of tunnel boring machine is simulated and analyzed in kinematic/dynamic based on virtual prototype to ensure stability in motion process. The three-dimensional model is built by using SolidWorks software and gear system of virtual prototype is simulated by using ADAMS. The angular velocity of gears and force curves between gears and shaft are got by simulation to analyze kinematically and dynamically, so the method can provide reference of dynamic optimization design. © (2011) Trans Tech Publications.

Wang T.,Shenyang Jianzhu University | Zhang K.,Shenyang Jianzhu University | Sun H.,Shenyang Jianzhu University | Wu Y.,Shenyang Jianzhu University | Zhao K.,Northern Heavy Industries Group Co.
Advanced Materials Research | Year: 2010

Full face rock tunnel boring machine (TBM) plays an important role in boring rock of tunnel. The failure of disc cutter is the main reason leading to low efficiency of TBM. In this paper, analysis of force and motion for disc cutter are carried by using ABAQUS to study stress distribution and concentration in disc cutter and rocks. Influence of different rocks on stress in disc cutter is analyzed. By combination the failure modes of disc cutter and its stress distribution, methods of decreasing failures of disc cutter are presented. Wear resistance and service life of disc cutter are improved by matching the materials of disc cutters with rocks. The results are useful for structural optimization and strengthening treatment of material of disc cutter. © (2010) Trans Tech Publications.

Wang H.,Dalian University of Technology | Wang H.,Shenyang Jianzhu University | Wu Y.,Shenyang Jianzhu University | Sun H.,Shenyang Jianzhu University | And 2 more authors.
Advanced Materials Research | Year: 2010

Disc cutter is the key part in Tunnel Boring Machine (TBM). Wear and tear of disc cutter is the main reason of low efficiency and high cost of this machine. Forces and deformations of disc cutter ring are foundation for its design and assembly. In this paper, the analysis of stress and deformation are carried to study their distribution; Wear mechanism of disc cutter ring is presented; modal analysis is carried to study the vibration of disc cutter ring. The results show the yield strength and rigidity of disc cutter ring is very high; disc cutter ring can avoid resonance and meet the engineering requirement. The results are very helpful for digital design of disc cutter ring used in different geology conditions. © (2010) Trans Tech Publications.

Zhang G.,Shandong Jiaotong University | Zhu Z.,Shandong Jiaotong University | Si G.,Shandong Jiaotong University | Wei X.,Northern Heavy Industries Group Co.
2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014 | Year: 2014

This article uses the original weld images as the research object. The OpenCV library is used in developing the weld image edge detection algorithm as the basic function library. Our research use gray transform filter as the pre-processing. The Canny operator is used as the edge detector to detecting the weld edge, and the Hough transform algorithm is used to detecting the welding line. Line location algorithm is used to geting the weld centerline location. By detecting and tracking the welding line, the welding machine can realize the automatic weld processing with well welding speed and high welding precision. © 2014 IEEE.

Wang Z.,Northeastern University China | Zhang K.,Northeastern University China | Wang W.S.,Northeastern University China | Zhao H.,Northern Heavy Industries Group Co.
Proceedings - 6th International Symposium on Computational Intelligence and Design, ISCID 2013 | Year: 2013

It is notoriously known there are lots of factors influence cutter efficiency and tool life for boring operations. The key problem is how much each influenced and where is the best balance point. This paper uses the orthogonal test method to simulate and verified the influence by the most two important cutting parameters, like cutting speed, cutting penetration (which is the same as cutting depth as in the mechanical machine). Firstly, we used the optimized model and designed a new test mechanism. In the simulation part, we use Rock Failure Process Analysis in simulates the rock fragments and the changes of stress field. With these new numerical algorithms, we can simulate the mass and cutting forces in the boring, and we finally find each balance point in the real boring in different cutting parameters. And we also updated a new liner cutting test experimental mechanism, which can simulate the real boring operations in the lab when we set different cutting parameters. We use the simulation and test method to verify our predicting result. We show that the best penetration is 3.8mm and the best cutting speed is 2.1mm/s for 17 inches cutter ring in our cutting test. However, since we understand the complex of different factors we can bound the balance point to those values in certain boring condition. © 2013 IEEE.

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