数字化转型能力已成为决定制造业高质量发展的核心与关键。选取海尔集团和华为集团作为研究对象,以数字技术扩散(Technology diffusion)、价值共创(Value co-creation)、商业模式创新(Business model innovation)、可持续发展(Sustainab...数字化转型能力已成为决定制造业高质量发展的核心与关键。选取海尔集团和华为集团作为研究对象,以数字技术扩散(Technology diffusion)、价值共创(Value co-creation)、商业模式创新(Business model innovation)、可持续发展(Sustainable development)4个维度的递进式协同为视角,探索制造业企业数字化转型能力形成过程与内在协同演进机理。研究发现:(1)制造业数字化转型能力包括数字支撑能力、数字创新能力、数字应用能力、数字运营能力、数字协同能力、可持续发展能力等维度;(2)TVBS协同与数字化转型能力形成存在耦合关系,且呈现递进式特征;(3)TVBS四个维度在数字化形成、网络平台化、生态化发展阶段以协同递进方式主导数字化转型能力形成,并且不同制造行业之间存在差异。展开更多
A heat transfer model of furnace roller cooling process was established based on analysis of furnace roller＇s structure. The complicated model was solved with iteration planning algorithm based on Newton search. The ...A heat transfer model of furnace roller cooling process was established based on analysis of furnace roller＇s structure. The complicated model was solved with iteration planning algorithm based on Newton search. The model is proved logical and credible by comparing calculated results and measured data. Then, the relationship between water flow velocity, inlet water temperature, furnace temperature and roller cross section temperature, outlet water temperature, water temperature rise, cooling water heat absorption was studied. The conclusions and recommendations are mainly as follows： l） Cooling water temperature rise decreases with the increase of water flow velocity, but it has small relationship with inlet water temperature; 2） In order to get little water scale, inlet water temperature should be controlled below 30 ℃. 3） The cooling water flow velocity should be greater than critical velocity. The critical velocity is 0.07 m/s and water flow velocity should be controlled within 0.4-0.8 m/s. Within this velocity range, water cooling efficiency is high and water temperature rise is little. If cooling water velocity increases again, heat loss will increase, leading to energy wasting.展开更多
基金Project(2010CB630800) supported by the National Basic Research Program of China
文摘A heat transfer model of furnace roller cooling process was established based on analysis of furnace roller＇s structure. The complicated model was solved with iteration planning algorithm based on Newton search. The model is proved logical and credible by comparing calculated results and measured data. Then, the relationship between water flow velocity, inlet water temperature, furnace temperature and roller cross section temperature, outlet water temperature, water temperature rise, cooling water heat absorption was studied. The conclusions and recommendations are mainly as follows： l） Cooling water temperature rise decreases with the increase of water flow velocity, but it has small relationship with inlet water temperature; 2） In order to get little water scale, inlet water temperature should be controlled below 30 ℃. 3） The cooling water flow velocity should be greater than critical velocity. The critical velocity is 0.07 m/s and water flow velocity should be controlled within 0.4-0.8 m/s. Within this velocity range, water cooling efficiency is high and water temperature rise is little. If cooling water velocity increases again, heat loss will increase, leading to energy wasting.
